Add Web Cam Motion Detector Code#463

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Add Web Cam Motion Detector Code #463

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2aaf438
Add web cam motion detector
Urmi-Jana Oct 18, 2022
637d58c
Create Readme.md
Urmi-Jana Oct 18, 2022
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85 changes: 85 additions & 0 deletions scripts/WebCam Motion Detector/Graph.html
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Open in desktop
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@




<!DOCTYPE html>
<html lang="en">

<head>

<meta charset="utf-8">
<title>Bokeh Plot</title>







<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js" integrity="sha384-YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa" crossorigin="anonymous"></script>
<script type="text/javascript">
Bokeh.set_log_level("info");
</script>




</head>


<body>






<div class="bk-root" id="eb4b3ef5-8cf1-4f01-b94d-8609433fea5d" data-root-id="1002"></div>





<script type="application/json" id="1263">
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</script>
<script type="text/javascript">
(function() {
var fn = function() {
Bokeh.safely(function() {
(function(root) {
function embed_document(root) {

var docs_json = document.getElementById('1263').textContent;
var render_items = [{"docid":"e3880aee-fea0-4f54-b28d-0163e9e0386b","root_ids":["1002"],"roots":{"1002":"eb4b3ef5-8cf1-4f01-b94d-8609433fea5d"}}];
root.Bokeh.embed.embed_items(docs_json, render_items);

}
if (root.Bokeh !== undefined) {
embed_document(root);
} else {
var attempts = 0;
var timer = setInterval(function(root) {
if (root.Bokeh !== undefined) {
clearInterval(timer);
embed_document(root);
} else {
attempts++;
if (attempts > 100) {
clearInterval(timer);
console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
}
}
}, 10, root)
}
})(window);
});
};
if (document.readyState != "loading") fn();
else document.addEventListener("DOMContentLoaded", fn);
})();
</script>

</body>

</html>
69 changes: 69 additions & 0 deletions scripts/WebCam Motion Detector/MotionDetector.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
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import cv2,time,pandas
from datetime import datetime

first_frame = None
status_list = [None, None]
time = []
df = pandas.DataFrame(columns=["Start", "End"])

video = cv2.VideoCapture(0)

while True:
check, frame = video.read()
status = 0
grey = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
grey = cv2.GaussianBlur(grey, (21, 21), 0) #blurring for accuracy

if first_frame is None: #capturing the background or the initial frame
first_frame = grey
continue

delta_frame = cv2.absdiff(first_frame, grey) #to

thresh_frame = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
#returns a tuple and converts the moving pixels to white

thresh_frame = cv2.dilate(thresh_frame, None, iterations=2)

(cnts,_) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)

for cont in cnts:
if cv2.contourArea(cont) < 10000: #excluding negligble objects
continue
status = 1
(x, y, w, h) = cv2.boundingRect(cont)
cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,0), 3,)
status_list.append(status)

status_list = status_list[-2:]

if status_list[-1] == 1 and status_list[-2] == 0:
time.append(datetime.now())
if status_list[-1] == 0 and status_list[-2] == 1:
time.append(datetime.now())
cv2.imshow("captured", grey)
cv2.imshow("delta", delta_frame)
cv2.imshow("Threshold", thresh_frame)
cv2.imshow("color frame", frame)

key = cv2.waitKey(1)

if key == ord('q'):
if status == 1:
time.append(datetime.now())
break
print(status)

print(status_list)
print(time)

for i in range(0, len(time), 2):
df = df.append({"Start" : time[i], "End": time[i+1]}, ignore_index=True)

df.to_csv("Times.csv")



video.release()
cv2.destroyAllWindows()
2 changes: 2 additions & 0 deletions scripts/WebCam Motion Detector/Readme.md
View file
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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,2 @@
### Web Cam Motion Detector
Download and run the above python code to activate the motion detector.
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Add Web Cam Motion Detector Code#463

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#463
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2aaf438

Add web cam motion detector


Urmi-Jana Oct 18, 2022
637d58c

Create Readme.md


Urmi-Jana Oct 18, 2022

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85 changes: 85 additions & 0 deletions
scripts/WebCam Motion Detector/Graph.html

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@




<!DOCTYPE html>
<html lang="en">

 <head>

 <meta charset="utf-8">
 <title>Bokeh Plot</title>







 <script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js" integrity="sha384-YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa" crossorigin="anonymous"></script>
 <script type="text/javascript">
 Bokeh.set_log_level("info");
 </script>




 </head>


 <body>






 <div class="bk-root" id="eb4b3ef5-8cf1-4f01-b94d-8609433fea5d" data-root-id="1002"></div>





 <script type="application/json" id="1263">
 {"e3880aee-fea0-4f54-b28d-0163e9e0386b":{"defs":[],"roots":{"references":[{"attributes":{"data":{"left":{"__ndarray__":"qIAarBOPd0IINmCtE493Qg==","dtype":"float64","order":"little","shape":[2]},"right":{"__ndarray__":"qCBdrROPd0JYc6WtE493Qg==","dtype":"float64","order":"little","shape":[2]}},"selected":{"id":"1050"},"selection_policy":{"id":"1051"}},"id":"1038","type":"ColumnDataSource"},{"attributes":{},"id":"1051","type":"UnionRenderers"},{"attributes":{"months":[0,6]},"id":"1062","type":"MonthsTicker"},{"attributes":{},"id":"1063","type":"YearsTicker"},{"attributes":{"formatter":{"id":"1047"},"major_label_policy":{"id":"1048"},"ticker":{"id":"1014"}},"id":"1013","type":"DatetimeAxis"},{"attributes":{"num_minor_ticks":5,"tickers":[{"id":"1052"},{"id":"1053"},{"id":"1054"},{"id":"1055"},{"id":"1056"},{"id":"1057"},{"id":"1058"},{"id":"1059"},{"id":"1060"},{"id":"1061"},{"id":"1062"},{"id":"1063"}]},"id":"1014","type":"DatetimeTicker"},{"attributes":{},"id":"1011","type":"LinearScale"},{"attributes":{},"id":"1009","type":"LinearScale"},{"attributes":{},"id":"1044","type":"BasicTickFormatter"},{"attributes":{},"id":"1045","type":"AllLabels"},{"attributes":{"active_multi":null,"tools":[{"id":"1021"},{"id":"1022"},{"id":"1023"},{"id":"1024"},{"id":"1025"},{"id":"1026"},{"id":"1036"}]},"id":"1028","type":"Toolbar"},{"attributes":{"axis":{"id":"1013"},"ticker":null},"id":"1016","type":"Grid"},{"attributes":{"bottom_units":"screen","fill_alpha":0.5,"fill_color":"lightgrey","left_units":"screen","level":"overlay","line_alpha":1.0,"line_color":"black","line_dash":[4,4],"line_width":2,"right_units":"screen","syncable":false,"top_units":"screen"},"id":"1027","type":"BoxAnnotation"},{"attributes":{},"id":"1026","type":"HelpTool"},{"attributes":{"text":"Motion Graph"},"id":"1003","type":"Title"},{"attributes":{"formatter":{"id":"1044"},"major_label_policy":{"id":"1045"},"minor_tick_line_color":null,"ticker":{"id":"1018"}},"id":"1017","type":"LinearAxis"},{"attributes":{"axis":{"id":"1017"},"dimension":1,"ticker":null},"id":"1020","type":"Grid"},{"attributes":{"desired_num_ticks":1},"id":"1018","type":"BasicTicker"},{"attributes":{},"id":"1047","type":"DatetimeTickFormatter"},{"attributes":{},"id":"1007","type":"DataRange1d"},{"attributes":{},"id":"1022","type":"WheelZoomTool"},{"attributes":{},"id":"1048","type":"AllLabels"},{"attributes":{},"id":"1021","type":"PanTool"},{"attributes":{"overlay":{"id":"1027"}},"id":"1023","type":"BoxZoomTool"},{"attributes":{"below":[{"id":"1013"}],"center":[{"id":"1016"},{"id":"1020"}],"height":500,"left":[{"id":"1017"}],"renderers":[{"id":"1041"}],"title":{"id":"1003"},"toolbar":{"id":"1028"},"width":500,"x_range":{"id":"1005"},"x_scale":{"id":"1009"},"y_range":{"id":"1007"},"y_scale":{"id":"1011"}},"id":"1002","subtype":"Figure","type":"Plot"},{"attributes":{},"id":"1024","type":"SaveTool"},{"attributes":{},"id":"1025","type":"ResetTool"},{"attributes":{"bottom":{"value":0},"fill_alpha":{"value":0.1},"fill_color":{"value":"purple"},"left":{"field":"left"},"line_alpha":{"value":0.1},"line_color":{"value":"purple"},"right":{"field":"right"},"top":{"value":1}},"id":"1040","type":"Quad"},{"attributes":{"data_source":{"id":"1038"},"glyph":{"id":"1039"},"hover_glyph":null,"muted_glyph":null,"nonselection_glyph":{"id":"1040"},"view":{"id":"1042"}},"id":"1041","type":"GlyphRenderer"},{"attributes":{"mantissas":[1,2,5],"max_interval":500.0,"num_minor_ticks":0},"id":"1052","type":"AdaptiveTicker"},{"attributes":{"bottom":{"value":0},"fill_color":{"value":"purple"},"left":{"field":"left"},"line_color":{"value":"purple"},"right":{"field":"right"},"top":{"value":1}},"id":"1039","type":"Quad"},{"attributes":{"base":60,"mantissas":[1,2,5,10,15,20,30],"max_interval":1800000.0,"min_interval":1000.0,"num_minor_ticks":0},"id":"1053","type":"AdaptiveTicker"},{"attributes":{"months":[0,4,8]},"id":"1061","type":"MonthsTicker"},{"attributes":{},"id":"1005","type":"DataRange1d"},{"attributes":{"base":24,"mantissas":[1,2,4,6,8,12],"max_interval":43200000.0,"min_interval":3600000.0,"num_minor_ticks":0},"id":"1054","type":"AdaptiveTicker"},{"attributes":{"months":[0,1,2,3,4,5,6,7,8,9,10,11]},"id":"1059","type":"MonthsTicker"},{"attributes":{"days":[1,15]},"id":"1058","type":"DaysTicker"},{"attributes":{"days":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},"id":"1055","type":"DaysTicker"},{"attributes":{"days":[1,4,7,10,13,16,19,22,25,28]},"id":"1056","type":"DaysTicker"},{"attributes":{"source":{"id":"1038"}},"id":"1042","type":"CDSView"},{"attributes":{},"id":"1050","type":"Selection"},{"attributes":{"months":[0,2,4,6,8,10]},"id":"1060","type":"MonthsTicker"},{"attributes":{"days":[1,8,15,22]},"id":"1057","type":"DaysTicker"},{"attributes":{"callback":null,"tooltips":[["Start:","@Start"],["End","@End"]]},"id":"1036","type":"HoverTool"}],"root_ids":["1002"]},"title":"Bokeh Application","version":"2.3.1"}}
 </script>
 <script type="text/javascript">
 (function() {
 var fn = function() {
 Bokeh.safely(function() {
 (function(root) {
 function embed_document(root) {

 var docs_json = document.getElementById('1263').textContent;
 var render_items = [{"docid":"e3880aee-fea0-4f54-b28d-0163e9e0386b","root_ids":["1002"],"roots":{"1002":"eb4b3ef5-8cf1-4f01-b94d-8609433fea5d"}}];
 root.Bokeh.embed.embed_items(docs_json, render_items);

 }
 if (root.Bokeh !== undefined) {
 embed_document(root);
 } else {
 var attempts = 0;
 var timer = setInterval(function(root) {
 if (root.Bokeh !== undefined) {
 clearInterval(timer);
 embed_document(root);
 } else {
 attempts++;
 if (attempts > 100) {
 clearInterval(timer);
 console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
 }
 }
 }, 10, root)
 }
 })(window);
 });
 };
 if (document.readyState != "loading") fn();
 else document.addEventListener("DOMContentLoaded", fn);
 })();
 </script>

 </body>

</html>

69 changes: 69 additions & 0 deletions
scripts/WebCam Motion Detector/MotionDetector.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,69 @@
import cv2,time,pandas
from datetime import datetime

first_frame = None
status_list = [None, None]
time = []
df = pandas.DataFrame(columns=["Start", "End"])

video = cv2.VideoCapture(0)

while True:
 check, frame = video.read()
 status = 0
 grey = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
 grey = cv2.GaussianBlur(grey, (21, 21), 0) #blurring for accuracy

 if first_frame is None: #capturing the background or the initial frame
 first_frame = grey
 continue

 delta_frame = cv2.absdiff(first_frame, grey) #to 

 thresh_frame = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
 #returns a tuple and converts the moving pixels to white

 thresh_frame = cv2.dilate(thresh_frame, None, iterations=2)

 (cnts,_) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL,
 cv2.CHAIN_APPROX_SIMPLE)

 for cont in cnts:
 if cv2.contourArea(cont) < 10000: #excluding negligble objects
 continue
 status = 1
 (x, y, w, h) = cv2.boundingRect(cont)
 cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,0), 3,)
 status_list.append(status)

 status_list = status_list[-2:] 

 if status_list[-1] == 1 and status_list[-2] == 0:
 time.append(datetime.now())
 if status_list[-1] == 0 and status_list[-2] == 1:
 time.append(datetime.now())
 cv2.imshow("captured", grey)
 cv2.imshow("delta", delta_frame)
 cv2.imshow("Threshold", thresh_frame)
 cv2.imshow("color frame", frame)

 key = cv2.waitKey(1)

 if key == ord('q'):
 if status == 1:
 time.append(datetime.now())
 break
 print(status)

print(status_list)
print(time)

for i in range(0, len(time), 2):
 df = df.append({"Start" : time[i], "End": time[i+1]}, ignore_index=True)

df.to_csv("Times.csv")



video.release()
cv2.destroyAllWindows()

2 changes: 2 additions & 0 deletions
scripts/WebCam Motion Detector/Readme.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,2 @@
### Web Cam Motion Detector
Download and run the above python code to activate the motion detector.

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Add Web Cam Motion Detector Code#463

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Urmi-Jana
wants to merge
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commits into

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Choose a base branch

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Add Web Cam Motion Detector Code
#463
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2aaf438

Add web cam motion detector


Urmi-Jana Oct 18, 2022
637d58c

Create Readme.md


Urmi-Jana Oct 18, 2022

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scripts/WebCam Motion Detector/Graph.html

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Original file line numberDiff line numberDiff line change
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<!DOCTYPE html>
<html lang="en">

 <head>

 <meta charset="utf-8">
 <title>Bokeh Plot</title>







 <script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js" integrity="sha384-YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa" crossorigin="anonymous"></script>
 <script type="text/javascript">
 Bokeh.set_log_level("info");
 </script>




 </head>


 <body>






 <div class="bk-root" id="eb4b3ef5-8cf1-4f01-b94d-8609433fea5d" data-root-id="1002"></div>





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 </script>
 <script type="text/javascript">
 (function() {
 var fn = function() {
 Bokeh.safely(function() {
 (function(root) {
 function embed_document(root) {

 var docs_json = document.getElementById('1263').textContent;
 var render_items = [{"docid":"e3880aee-fea0-4f54-b28d-0163e9e0386b","root_ids":["1002"],"roots":{"1002":"eb4b3ef5-8cf1-4f01-b94d-8609433fea5d"}}];
 root.Bokeh.embed.embed_items(docs_json, render_items);

 }
 if (root.Bokeh !== undefined) {
 embed_document(root);
 } else {
 var attempts = 0;
 var timer = setInterval(function(root) {
 if (root.Bokeh !== undefined) {
 clearInterval(timer);
 embed_document(root);
 } else {
 attempts++;
 if (attempts > 100) {
 clearInterval(timer);
 console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
 }
 }
 }, 10, root)
 }
 })(window);
 });
 };
 if (document.readyState != "loading") fn();
 else document.addEventListener("DOMContentLoaded", fn);
 })();
 </script>

 </body>

</html>

69 changes: 69 additions & 0 deletions
scripts/WebCam Motion Detector/MotionDetector.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
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import cv2,time,pandas
from datetime import datetime

first_frame = None
status_list = [None, None]
time = []
df = pandas.DataFrame(columns=["Start", "End"])

video = cv2.VideoCapture(0)

while True:
 check, frame = video.read()
 status = 0
 grey = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
 grey = cv2.GaussianBlur(grey, (21, 21), 0) #blurring for accuracy

 if first_frame is None: #capturing the background or the initial frame
 first_frame = grey
 continue

 delta_frame = cv2.absdiff(first_frame, grey) #to 

 thresh_frame = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
 #returns a tuple and converts the moving pixels to white

 thresh_frame = cv2.dilate(thresh_frame, None, iterations=2)

 (cnts,_) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL,
 cv2.CHAIN_APPROX_SIMPLE)

 for cont in cnts:
 if cv2.contourArea(cont) < 10000: #excluding negligble objects
 continue
 status = 1
 (x, y, w, h) = cv2.boundingRect(cont)
 cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,0), 3,)
 status_list.append(status)

 status_list = status_list[-2:] 

 if status_list[-1] == 1 and status_list[-2] == 0:
 time.append(datetime.now())
 if status_list[-1] == 0 and status_list[-2] == 1:
 time.append(datetime.now())
 cv2.imshow("captured", grey)
 cv2.imshow("delta", delta_frame)
 cv2.imshow("Threshold", thresh_frame)
 cv2.imshow("color frame", frame)

 key = cv2.waitKey(1)

 if key == ord('q'):
 if status == 1:
 time.append(datetime.now())
 break
 print(status)

print(status_list)
print(time)

for i in range(0, len(time), 2):
 df = df.append({"Start" : time[i], "End": time[i+1]}, ignore_index=True)

df.to_csv("Times.csv")



video.release()
cv2.destroyAllWindows()

2 changes: 2 additions & 0 deletions
scripts/WebCam Motion Detector/Readme.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,2 @@
### Web Cam Motion Detector
Download and run the above python code to activate the motion detector.

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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2aaf438

Add web cam motion detector


Urmi-Jana Oct 18, 2022
637d58c

Create Readme.md


Urmi-Jana Oct 18, 2022

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85 changes: 85 additions & 0 deletions
scripts/WebCam Motion Detector/Graph.html

View file


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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@




<!DOCTYPE html>
<html lang="en">

 <head>

 <meta charset="utf-8">
 <title>Bokeh Plot</title>







 <script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js" integrity="sha384-YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa" crossorigin="anonymous"></script>
 <script type="text/javascript">
 Bokeh.set_log_level("info");
 </script>




 </head>


 <body>






 <div class="bk-root" id="eb4b3ef5-8cf1-4f01-b94d-8609433fea5d" data-root-id="1002"></div>





 <script type="application/json" id="1263">
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 </script>
 <script type="text/javascript">
 (function() {
 var fn = function() {
 Bokeh.safely(function() {
 (function(root) {
 function embed_document(root) {

 var docs_json = document.getElementById('1263').textContent;
 var render_items = [{"docid":"e3880aee-fea0-4f54-b28d-0163e9e0386b","root_ids":["1002"],"roots":{"1002":"eb4b3ef5-8cf1-4f01-b94d-8609433fea5d"}}];
 root.Bokeh.embed.embed_items(docs_json, render_items);

 }
 if (root.Bokeh !== undefined) {
 embed_document(root);
 } else {
 var attempts = 0;
 var timer = setInterval(function(root) {
 if (root.Bokeh !== undefined) {
 clearInterval(timer);
 embed_document(root);
 } else {
 attempts++;
 if (attempts > 100) {
 clearInterval(timer);
 console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
 }
 }
 }, 10, root)
 }
 })(window);
 });
 };
 if (document.readyState != "loading") fn();
 else document.addEventListener("DOMContentLoaded", fn);
 })();
 </script>

 </body>

</html>

69 changes: 69 additions & 0 deletions
scripts/WebCam Motion Detector/MotionDetector.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,69 @@
import cv2,time,pandas
from datetime import datetime

first_frame = None
status_list = [None, None]
time = []
df = pandas.DataFrame(columns=["Start", "End"])

video = cv2.VideoCapture(0)

while True:
 check, frame = video.read()
 status = 0
 grey = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
 grey = cv2.GaussianBlur(grey, (21, 21), 0) #blurring for accuracy

 if first_frame is None: #capturing the background or the initial frame
 first_frame = grey
 continue

 delta_frame = cv2.absdiff(first_frame, grey) #to 

 thresh_frame = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
 #returns a tuple and converts the moving pixels to white

 thresh_frame = cv2.dilate(thresh_frame, None, iterations=2)

 (cnts,_) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL,
 cv2.CHAIN_APPROX_SIMPLE)

 for cont in cnts:
 if cv2.contourArea(cont) < 10000: #excluding negligble objects
 continue
 status = 1
 (x, y, w, h) = cv2.boundingRect(cont)
 cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,0), 3,)
 status_list.append(status)

 status_list = status_list[-2:] 

 if status_list[-1] == 1 and status_list[-2] == 0:
 time.append(datetime.now())
 if status_list[-1] == 0 and status_list[-2] == 1:
 time.append(datetime.now())
 cv2.imshow("captured", grey)
 cv2.imshow("delta", delta_frame)
 cv2.imshow("Threshold", thresh_frame)
 cv2.imshow("color frame", frame)

 key = cv2.waitKey(1)

 if key == ord('q'):
 if status == 1:
 time.append(datetime.now())
 break
 print(status)

print(status_list)
print(time)

for i in range(0, len(time), 2):
 df = df.append({"Start" : time[i], "End": time[i+1]}, ignore_index=True)

df.to_csv("Times.csv")



video.release()
cv2.destroyAllWindows()

2 changes: 2 additions & 0 deletions
scripts/WebCam Motion Detector/Readme.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,2 @@
### Web Cam Motion Detector
Download and run the above python code to activate the motion detector.

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
Add Web Cam Motion Detector Code#463

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

 Sign up for GitHub

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2aaf438

Add web cam motion detector


Urmi-Jana Oct 18, 2022
637d58c

Create Readme.md


Urmi-Jana Oct 18, 2022

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85 changes: 85 additions & 0 deletions
scripts/WebCam Motion Detector/Graph.html

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<!DOCTYPE html>
<html lang="en">

 <head>

 <meta charset="utf-8">
 <title>Bokeh Plot</title>







 <script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js" integrity="sha384-YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa" crossorigin="anonymous"></script>
 <script type="text/javascript">
 Bokeh.set_log_level("info");
 </script>




 </head>


 <body>






 <div class="bk-root" id="eb4b3ef5-8cf1-4f01-b94d-8609433fea5d" data-root-id="1002"></div>





 <script type="application/json" id="1263">
 {"e3880aee-fea0-4f54-b28d-0163e9e0386b":{"defs":[],"roots":{"references":[{"attributes":{"data":{"left":{"__ndarray__":"qIAarBOPd0IINmCtE493Qg==","dtype":"float64","order":"little","shape":[2]},"right":{"__ndarray__":"qCBdrROPd0JYc6WtE493Qg==","dtype":"float64","order":"little","shape":[2]}},"selected":{"id":"1050"},"selection_policy":{"id":"1051"}},"id":"1038","type":"ColumnDataSource"},{"attributes":{},"id":"1051","type":"UnionRenderers"},{"attributes":{"months":[0,6]},"id":"1062","type":"MonthsTicker"},{"attributes":{},"id":"1063","type":"YearsTicker"},{"attributes":{"formatter":{"id":"1047"},"major_label_policy":{"id":"1048"},"ticker":{"id":"1014"}},"id":"1013","type":"DatetimeAxis"},{"attributes":{"num_minor_ticks":5,"tickers":[{"id":"1052"},{"id":"1053"},{"id":"1054"},{"id":"1055"},{"id":"1056"},{"id":"1057"},{"id":"1058"},{"id":"1059"},{"id":"1060"},{"id":"1061"},{"id":"1062"},{"id":"1063"}]},"id":"1014","type":"DatetimeTicker"},{"attributes":{},"id":"1011","type":"LinearScale"},{"attributes":{},"id":"1009","type":"LinearScale"},{"attributes":{},"id":"1044","type":"BasicTickFormatter"},{"attributes":{},"id":"1045","type":"AllLabels"},{"attributes":{"active_multi":null,"tools":[{"id":"1021"},{"id":"1022"},{"id":"1023"},{"id":"1024"},{"id":"1025"},{"id":"1026"},{"id":"1036"}]},"id":"1028","type":"Toolbar"},{"attributes":{"axis":{"id":"1013"},"ticker":null},"id":"1016","type":"Grid"},{"attributes":{"bottom_units":"screen","fill_alpha":0.5,"fill_color":"lightgrey","left_units":"screen","level":"overlay","line_alpha":1.0,"line_color":"black","line_dash":[4,4],"line_width":2,"right_units":"screen","syncable":false,"top_units":"screen"},"id":"1027","type":"BoxAnnotation"},{"attributes":{},"id":"1026","type":"HelpTool"},{"attributes":{"text":"Motion Graph"},"id":"1003","type":"Title"},{"attributes":{"formatter":{"id":"1044"},"major_label_policy":{"id":"1045"},"minor_tick_line_color":null,"ticker":{"id":"1018"}},"id":"1017","type":"LinearAxis"},{"attributes":{"axis":{"id":"1017"},"dimension":1,"ticker":null},"id":"1020","type":"Grid"},{"attributes":{"desired_num_ticks":1},"id":"1018","type":"BasicTicker"},{"attributes":{},"id":"1047","type":"DatetimeTickFormatter"},{"attributes":{},"id":"1007","type":"DataRange1d"},{"attributes":{},"id":"1022","type":"WheelZoomTool"},{"attributes":{},"id":"1048","type":"AllLabels"},{"attributes":{},"id":"1021","type":"PanTool"},{"attributes":{"overlay":{"id":"1027"}},"id":"1023","type":"BoxZoomTool"},{"attributes":{"below":[{"id":"1013"}],"center":[{"id":"1016"},{"id":"1020"}],"height":500,"left":[{"id":"1017"}],"renderers":[{"id":"1041"}],"title":{"id":"1003"},"toolbar":{"id":"1028"},"width":500,"x_range":{"id":"1005"},"x_scale":{"id":"1009"},"y_range":{"id":"1007"},"y_scale":{"id":"1011"}},"id":"1002","subtype":"Figure","type":"Plot"},{"attributes":{},"id":"1024","type":"SaveTool"},{"attributes":{},"id":"1025","type":"ResetTool"},{"attributes":{"bottom":{"value":0},"fill_alpha":{"value":0.1},"fill_color":{"value":"purple"},"left":{"field":"left"},"line_alpha":{"value":0.1},"line_color":{"value":"purple"},"right":{"field":"right"},"top":{"value":1}},"id":"1040","type":"Quad"},{"attributes":{"data_source":{"id":"1038"},"glyph":{"id":"1039"},"hover_glyph":null,"muted_glyph":null,"nonselection_glyph":{"id":"1040"},"view":{"id":"1042"}},"id":"1041","type":"GlyphRenderer"},{"attributes":{"mantissas":[1,2,5],"max_interval":500.0,"num_minor_ticks":0},"id":"1052","type":"AdaptiveTicker"},{"attributes":{"bottom":{"value":0},"fill_color":{"value":"purple"},"left":{"field":"left"},"line_color":{"value":"purple"},"right":{"field":"right"},"top":{"value":1}},"id":"1039","type":"Quad"},{"attributes":{"base":60,"mantissas":[1,2,5,10,15,20,30],"max_interval":1800000.0,"min_interval":1000.0,"num_minor_ticks":0},"id":"1053","type":"AdaptiveTicker"},{"attributes":{"months":[0,4,8]},"id":"1061","type":"MonthsTicker"},{"attributes":{},"id":"1005","type":"DataRange1d"},{"attributes":{"base":24,"mantissas":[1,2,4,6,8,12],"max_interval":43200000.0,"min_interval":3600000.0,"num_minor_ticks":0},"id":"1054","type":"AdaptiveTicker"},{"attributes":{"months":[0,1,2,3,4,5,6,7,8,9,10,11]},"id":"1059","type":"MonthsTicker"},{"attributes":{"days":[1,15]},"id":"1058","type":"DaysTicker"},{"attributes":{"days":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},"id":"1055","type":"DaysTicker"},{"attributes":{"days":[1,4,7,10,13,16,19,22,25,28]},"id":"1056","type":"DaysTicker"},{"attributes":{"source":{"id":"1038"}},"id":"1042","type":"CDSView"},{"attributes":{},"id":"1050","type":"Selection"},{"attributes":{"months":[0,2,4,6,8,10]},"id":"1060","type":"MonthsTicker"},{"attributes":{"days":[1,8,15,22]},"id":"1057","type":"DaysTicker"},{"attributes":{"callback":null,"tooltips":[["Start:","@Start"],["End","@End"]]},"id":"1036","type":"HoverTool"}],"root_ids":["1002"]},"title":"Bokeh Application","version":"2.3.1"}}
 </script>
 <script type="text/javascript">
 (function() {
 var fn = function() {
 Bokeh.safely(function() {
 (function(root) {
 function embed_document(root) {

 var docs_json = document.getElementById('1263').textContent;
 var render_items = [{"docid":"e3880aee-fea0-4f54-b28d-0163e9e0386b","root_ids":["1002"],"roots":{"1002":"eb4b3ef5-8cf1-4f01-b94d-8609433fea5d"}}];
 root.Bokeh.embed.embed_items(docs_json, render_items);

 }
 if (root.Bokeh !== undefined) {
 embed_document(root);
 } else {
 var attempts = 0;
 var timer = setInterval(function(root) {
 if (root.Bokeh !== undefined) {
 clearInterval(timer);
 embed_document(root);
 } else {
 attempts++;
 if (attempts > 100) {
 clearInterval(timer);
 console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
 }
 }
 }, 10, root)
 }
 })(window);
 });
 };
 if (document.readyState != "loading") fn();
 else document.addEventListener("DOMContentLoaded", fn);
 })();
 </script>

 </body>

</html>

69 changes: 69 additions & 0 deletions
scripts/WebCam Motion Detector/MotionDetector.py

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Open in desktop

Original file line numberDiff line numberDiff line change
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import cv2,time,pandas
from datetime import datetime

first_frame = None
status_list = [None, None]
time = []
df = pandas.DataFrame(columns=["Start", "End"])

video = cv2.VideoCapture(0)

while True:
 check, frame = video.read()
 status = 0
 grey = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
 grey = cv2.GaussianBlur(grey, (21, 21), 0) #blurring for accuracy

 if first_frame is None: #capturing the background or the initial frame
 first_frame = grey
 continue

 delta_frame = cv2.absdiff(first_frame, grey) #to 

 thresh_frame = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
 #returns a tuple and converts the moving pixels to white

 thresh_frame = cv2.dilate(thresh_frame, None, iterations=2)

 (cnts,_) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL,
 cv2.CHAIN_APPROX_SIMPLE)

 for cont in cnts:
 if cv2.contourArea(cont) < 10000: #excluding negligble objects
 continue
 status = 1
 (x, y, w, h) = cv2.boundingRect(cont)
 cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,0), 3,)
 status_list.append(status)

 status_list = status_list[-2:] 

 if status_list[-1] == 1 and status_list[-2] == 0:
 time.append(datetime.now())
 if status_list[-1] == 0 and status_list[-2] == 1:
 time.append(datetime.now())
 cv2.imshow("captured", grey)
 cv2.imshow("delta", delta_frame)
 cv2.imshow("Threshold", thresh_frame)
 cv2.imshow("color frame", frame)

 key = cv2.waitKey(1)

 if key == ord('q'):
 if status == 1:
 time.append(datetime.now())
 break
 print(status)

print(status_list)
print(time)

for i in range(0, len(time), 2):
 df = df.append({"Start" : time[i], "End": time[i+1]}, ignore_index=True)

df.to_csv("Times.csv")



video.release()
cv2.destroyAllWindows()

2 changes: 2 additions & 0 deletions
scripts/WebCam Motion Detector/Readme.md

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Original file line numberDiff line numberDiff line change
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### Web Cam Motion Detector
Download and run the above python code to activate the motion detector.

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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#463
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2aaf438

Add web cam motion detector


Urmi-Jana Oct 18, 2022
637d58c

Create Readme.md


Urmi-Jana Oct 18, 2022

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85 changes: 85 additions & 0 deletions
scripts/WebCam Motion Detector/Graph.html

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@




<!DOCTYPE html>
<html lang="en">

 <head>

 <meta charset="utf-8">
 <title>Bokeh Plot</title>







 <script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js" integrity="sha384-YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa" crossorigin="anonymous"></script>
 <script type="text/javascript">
 Bokeh.set_log_level("info");
 </script>




 </head>


 <body>






 <div class="bk-root" id="eb4b3ef5-8cf1-4f01-b94d-8609433fea5d" data-root-id="1002"></div>





 <script type="application/json" id="1263">
 {"e3880aee-fea0-4f54-b28d-0163e9e0386b":{"defs":[],"roots":{"references":[{"attributes":{"data":{"left":{"__ndarray__":"qIAarBOPd0IINmCtE493Qg==","dtype":"float64","order":"little","shape":[2]},"right":{"__ndarray__":"qCBdrROPd0JYc6WtE493Qg==","dtype":"float64","order":"little","shape":[2]}},"selected":{"id":"1050"},"selection_policy":{"id":"1051"}},"id":"1038","type":"ColumnDataSource"},{"attributes":{},"id":"1051","type":"UnionRenderers"},{"attributes":{"months":[0,6]},"id":"1062","type":"MonthsTicker"},{"attributes":{},"id":"1063","type":"YearsTicker"},{"attributes":{"formatter":{"id":"1047"},"major_label_policy":{"id":"1048"},"ticker":{"id":"1014"}},"id":"1013","type":"DatetimeAxis"},{"attributes":{"num_minor_ticks":5,"tickers":[{"id":"1052"},{"id":"1053"},{"id":"1054"},{"id":"1055"},{"id":"1056"},{"id":"1057"},{"id":"1058"},{"id":"1059"},{"id":"1060"},{"id":"1061"},{"id":"1062"},{"id":"1063"}]},"id":"1014","type":"DatetimeTicker"},{"attributes":{},"id":"1011","type":"LinearScale"},{"attributes":{},"id":"1009","type":"LinearScale"},{"attributes":{},"id":"1044","type":"BasicTickFormatter"},{"attributes":{},"id":"1045","type":"AllLabels"},{"attributes":{"active_multi":null,"tools":[{"id":"1021"},{"id":"1022"},{"id":"1023"},{"id":"1024"},{"id":"1025"},{"id":"1026"},{"id":"1036"}]},"id":"1028","type":"Toolbar"},{"attributes":{"axis":{"id":"1013"},"ticker":null},"id":"1016","type":"Grid"},{"attributes":{"bottom_units":"screen","fill_alpha":0.5,"fill_color":"lightgrey","left_units":"screen","level":"overlay","line_alpha":1.0,"line_color":"black","line_dash":[4,4],"line_width":2,"right_units":"screen","syncable":false,"top_units":"screen"},"id":"1027","type":"BoxAnnotation"},{"attributes":{},"id":"1026","type":"HelpTool"},{"attributes":{"text":"Motion Graph"},"id":"1003","type":"Title"},{"attributes":{"formatter":{"id":"1044"},"major_label_policy":{"id":"1045"},"minor_tick_line_color":null,"ticker":{"id":"1018"}},"id":"1017","type":"LinearAxis"},{"attributes":{"axis":{"id":"1017"},"dimension":1,"ticker":null},"id":"1020","type":"Grid"},{"attributes":{"desired_num_ticks":1},"id":"1018","type":"BasicTicker"},{"attributes":{},"id":"1047","type":"DatetimeTickFormatter"},{"attributes":{},"id":"1007","type":"DataRange1d"},{"attributes":{},"id":"1022","type":"WheelZoomTool"},{"attributes":{},"id":"1048","type":"AllLabels"},{"attributes":{},"id":"1021","type":"PanTool"},{"attributes":{"overlay":{"id":"1027"}},"id":"1023","type":"BoxZoomTool"},{"attributes":{"below":[{"id":"1013"}],"center":[{"id":"1016"},{"id":"1020"}],"height":500,"left":[{"id":"1017"}],"renderers":[{"id":"1041"}],"title":{"id":"1003"},"toolbar":{"id":"1028"},"width":500,"x_range":{"id":"1005"},"x_scale":{"id":"1009"},"y_range":{"id":"1007"},"y_scale":{"id":"1011"}},"id":"1002","subtype":"Figure","type":"Plot"},{"attributes":{},"id":"1024","type":"SaveTool"},{"attributes":{},"id":"1025","type":"ResetTool"},{"attributes":{"bottom":{"value":0},"fill_alpha":{"value":0.1},"fill_color":{"value":"purple"},"left":{"field":"left"},"line_alpha":{"value":0.1},"line_color":{"value":"purple"},"right":{"field":"right"},"top":{"value":1}},"id":"1040","type":"Quad"},{"attributes":{"data_source":{"id":"1038"},"glyph":{"id":"1039"},"hover_glyph":null,"muted_glyph":null,"nonselection_glyph":{"id":"1040"},"view":{"id":"1042"}},"id":"1041","type":"GlyphRenderer"},{"attributes":{"mantissas":[1,2,5],"max_interval":500.0,"num_minor_ticks":0},"id":"1052","type":"AdaptiveTicker"},{"attributes":{"bottom":{"value":0},"fill_color":{"value":"purple"},"left":{"field":"left"},"line_color":{"value":"purple"},"right":{"field":"right"},"top":{"value":1}},"id":"1039","type":"Quad"},{"attributes":{"base":60,"mantissas":[1,2,5,10,15,20,30],"max_interval":1800000.0,"min_interval":1000.0,"num_minor_ticks":0},"id":"1053","type":"AdaptiveTicker"},{"attributes":{"months":[0,4,8]},"id":"1061","type":"MonthsTicker"},{"attributes":{},"id":"1005","type":"DataRange1d"},{"attributes":{"base":24,"mantissas":[1,2,4,6,8,12],"max_interval":43200000.0,"min_interval":3600000.0,"num_minor_ticks":0},"id":"1054","type":"AdaptiveTicker"},{"attributes":{"months":[0,1,2,3,4,5,6,7,8,9,10,11]},"id":"1059","type":"MonthsTicker"},{"attributes":{"days":[1,15]},"id":"1058","type":"DaysTicker"},{"attributes":{"days":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},"id":"1055","type":"DaysTicker"},{"attributes":{"days":[1,4,7,10,13,16,19,22,25,28]},"id":"1056","type":"DaysTicker"},{"attributes":{"source":{"id":"1038"}},"id":"1042","type":"CDSView"},{"attributes":{},"id":"1050","type":"Selection"},{"attributes":{"months":[0,2,4,6,8,10]},"id":"1060","type":"MonthsTicker"},{"attributes":{"days":[1,8,15,22]},"id":"1057","type":"DaysTicker"},{"attributes":{"callback":null,"tooltips":[["Start:","@Start"],["End","@End"]]},"id":"1036","type":"HoverTool"}],"root_ids":["1002"]},"title":"Bokeh Application","version":"2.3.1"}}
 </script>
 <script type="text/javascript">
 (function() {
 var fn = function() {
 Bokeh.safely(function() {
 (function(root) {
 function embed_document(root) {

 var docs_json = document.getElementById('1263').textContent;
 var render_items = [{"docid":"e3880aee-fea0-4f54-b28d-0163e9e0386b","root_ids":["1002"],"roots":{"1002":"eb4b3ef5-8cf1-4f01-b94d-8609433fea5d"}}];
 root.Bokeh.embed.embed_items(docs_json, render_items);

 }
 if (root.Bokeh !== undefined) {
 embed_document(root);
 } else {
 var attempts = 0;
 var timer = setInterval(function(root) {
 if (root.Bokeh !== undefined) {
 clearInterval(timer);
 embed_document(root);
 } else {
 attempts++;
 if (attempts > 100) {
 clearInterval(timer);
 console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
 }
 }
 }, 10, root)
 }
 })(window);
 });
 };
 if (document.readyState != "loading") fn();
 else document.addEventListener("DOMContentLoaded", fn);
 })();
 </script>

 </body>

</html>

69 changes: 69 additions & 0 deletions
scripts/WebCam Motion Detector/MotionDetector.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,69 @@
import cv2,time,pandas
from datetime import datetime

first_frame = None
status_list = [None, None]
time = []
df = pandas.DataFrame(columns=["Start", "End"])

video = cv2.VideoCapture(0)

while True:
 check, frame = video.read()
 status = 0
 grey = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
 grey = cv2.GaussianBlur(grey, (21, 21), 0) #blurring for accuracy

 if first_frame is None: #capturing the background or the initial frame
 first_frame = grey
 continue

 delta_frame = cv2.absdiff(first_frame, grey) #to 

 thresh_frame = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
 #returns a tuple and converts the moving pixels to white

 thresh_frame = cv2.dilate(thresh_frame, None, iterations=2)

 (cnts,_) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL,
 cv2.CHAIN_APPROX_SIMPLE)

 for cont in cnts:
 if cv2.contourArea(cont) < 10000: #excluding negligble objects
 continue
 status = 1
 (x, y, w, h) = cv2.boundingRect(cont)
 cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,0), 3,)
 status_list.append(status)

 status_list = status_list[-2:] 

 if status_list[-1] == 1 and status_list[-2] == 0:
 time.append(datetime.now())
 if status_list[-1] == 0 and status_list[-2] == 1:
 time.append(datetime.now())
 cv2.imshow("captured", grey)
 cv2.imshow("delta", delta_frame)
 cv2.imshow("Threshold", thresh_frame)
 cv2.imshow("color frame", frame)

 key = cv2.waitKey(1)

 if key == ord('q'):
 if status == 1:
 time.append(datetime.now())
 break
 print(status)

print(status_list)
print(time)

for i in range(0, len(time), 2):
 df = df.append({"Start" : time[i], "End": time[i+1]}, ignore_index=True)

df.to_csv("Times.csv")



video.release()
cv2.destroyAllWindows()

2 changes: 2 additions & 0 deletions
scripts/WebCam Motion Detector/Readme.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,2 @@
### Web Cam Motion Detector
Download and run the above python code to activate the motion detector.

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Add Web Cam Motion Detector Code#463

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Add Web Cam Motion Detector Code
#463
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2aaf438

Add web cam motion detector


Urmi-Jana Oct 18, 2022
637d58c

Create Readme.md


Urmi-Jana Oct 18, 2022

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85 changes: 85 additions & 0 deletions
scripts/WebCam Motion Detector/Graph.html

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@




<!DOCTYPE html>
<html lang="en">

 <head>

 <meta charset="utf-8">
 <title>Bokeh Plot</title>







 <script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js" integrity="sha384-YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa" crossorigin="anonymous"></script>
 <script type="text/javascript">
 Bokeh.set_log_level("info");
 </script>




 </head>


 <body>






 <div class="bk-root" id="eb4b3ef5-8cf1-4f01-b94d-8609433fea5d" data-root-id="1002"></div>





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 <script type="text/javascript">
 (function() {
 var fn = function() {
 Bokeh.safely(function() {
 (function(root) {
 function embed_document(root) {

 var docs_json = document.getElementById('1263').textContent;
 var render_items = [{"docid":"e3880aee-fea0-4f54-b28d-0163e9e0386b","root_ids":["1002"],"roots":{"1002":"eb4b3ef5-8cf1-4f01-b94d-8609433fea5d"}}];
 root.Bokeh.embed.embed_items(docs_json, render_items);

 }
 if (root.Bokeh !== undefined) {
 embed_document(root);
 } else {
 var attempts = 0;
 var timer = setInterval(function(root) {
 if (root.Bokeh !== undefined) {
 clearInterval(timer);
 embed_document(root);
 } else {
 attempts++;
 if (attempts > 100) {
 clearInterval(timer);
 console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
 }
 }
 }, 10, root)
 }
 })(window);
 });
 };
 if (document.readyState != "loading") fn();
 else document.addEventListener("DOMContentLoaded", fn);
 })();
 </script>

 </body>

</html>

69 changes: 69 additions & 0 deletions
scripts/WebCam Motion Detector/MotionDetector.py

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Open in desktop

Original file line numberDiff line numberDiff line change
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import cv2,time,pandas
from datetime import datetime

first_frame = None
status_list = [None, None]
time = []
df = pandas.DataFrame(columns=["Start", "End"])

video = cv2.VideoCapture(0)

while True:
 check, frame = video.read()
 status = 0
 grey = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
 grey = cv2.GaussianBlur(grey, (21, 21), 0) #blurring for accuracy

 if first_frame is None: #capturing the background or the initial frame
 first_frame = grey
 continue

 delta_frame = cv2.absdiff(first_frame, grey) #to 

 thresh_frame = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
 #returns a tuple and converts the moving pixels to white

 thresh_frame = cv2.dilate(thresh_frame, None, iterations=2)

 (cnts,_) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL,
 cv2.CHAIN_APPROX_SIMPLE)

 for cont in cnts:
 if cv2.contourArea(cont) < 10000: #excluding negligble objects
 continue
 status = 1
 (x, y, w, h) = cv2.boundingRect(cont)
 cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,0), 3,)
 status_list.append(status)

 status_list = status_list[-2:] 

 if status_list[-1] == 1 and status_list[-2] == 0:
 time.append(datetime.now())
 if status_list[-1] == 0 and status_list[-2] == 1:
 time.append(datetime.now())
 cv2.imshow("captured", grey)
 cv2.imshow("delta", delta_frame)
 cv2.imshow("Threshold", thresh_frame)
 cv2.imshow("color frame", frame)

 key = cv2.waitKey(1)

 if key == ord('q'):
 if status == 1:
 time.append(datetime.now())
 break
 print(status)

print(status_list)
print(time)

for i in range(0, len(time), 2):
 df = df.append({"Start" : time[i], "End": time[i+1]}, ignore_index=True)

df.to_csv("Times.csv")



video.release()
cv2.destroyAllWindows()

2 changes: 2 additions & 0 deletions
scripts/WebCam Motion Detector/Readme.md

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Open in desktop

Original file line numberDiff line numberDiff line change
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### Web Cam Motion Detector
Download and run the above python code to activate the motion detector.

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Add web cam motion detector


Urmi-Jana Oct 18, 2022
637d58c

Create Readme.md


Urmi-Jana Oct 18, 2022

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85 changes: 85 additions & 0 deletions
scripts/WebCam Motion Detector/Graph.html

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Original file line numberDiff line numberDiff line change
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<!DOCTYPE html>
<html lang="en">

 <head>

 <meta charset="utf-8">
 <title>Bokeh Plot</title>







 <script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js" integrity="sha384-YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa" crossorigin="anonymous"></script>
 <script type="text/javascript">
 Bokeh.set_log_level("info");
 </script>




 </head>


 <body>






 <div class="bk-root" id="eb4b3ef5-8cf1-4f01-b94d-8609433fea5d" data-root-id="1002"></div>





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 </script>
 <script type="text/javascript">
 (function() {
 var fn = function() {
 Bokeh.safely(function() {
 (function(root) {
 function embed_document(root) {

 var docs_json = document.getElementById('1263').textContent;
 var render_items = [{"docid":"e3880aee-fea0-4f54-b28d-0163e9e0386b","root_ids":["1002"],"roots":{"1002":"eb4b3ef5-8cf1-4f01-b94d-8609433fea5d"}}];
 root.Bokeh.embed.embed_items(docs_json, render_items);

 }
 if (root.Bokeh !== undefined) {
 embed_document(root);
 } else {
 var attempts = 0;
 var timer = setInterval(function(root) {
 if (root.Bokeh !== undefined) {
 clearInterval(timer);
 embed_document(root);
 } else {
 attempts++;
 if (attempts > 100) {
 clearInterval(timer);
 console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
 }
 }
 }, 10, root)
 }
 })(window);
 });
 };
 if (document.readyState != "loading") fn();
 else document.addEventListener("DOMContentLoaded", fn);
 })();
 </script>

 </body>

</html>

69 changes: 69 additions & 0 deletions
scripts/WebCam Motion Detector/MotionDetector.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,69 @@
import cv2,time,pandas
from datetime import datetime

first_frame = None
status_list = [None, None]
time = []
df = pandas.DataFrame(columns=["Start", "End"])

video = cv2.VideoCapture(0)

while True:
 check, frame = video.read()
 status = 0
 grey = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
 grey = cv2.GaussianBlur(grey, (21, 21), 0) #blurring for accuracy

 if first_frame is None: #capturing the background or the initial frame
 first_frame = grey
 continue

 delta_frame = cv2.absdiff(first_frame, grey) #to 

 thresh_frame = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
 #returns a tuple and converts the moving pixels to white

 thresh_frame = cv2.dilate(thresh_frame, None, iterations=2)

 (cnts,_) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL,
 cv2.CHAIN_APPROX_SIMPLE)

 for cont in cnts:
 if cv2.contourArea(cont) < 10000: #excluding negligble objects
 continue
 status = 1
 (x, y, w, h) = cv2.boundingRect(cont)
 cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,0), 3,)
 status_list.append(status)

 status_list = status_list[-2:] 

 if status_list[-1] == 1 and status_list[-2] == 0:
 time.append(datetime.now())
 if status_list[-1] == 0 and status_list[-2] == 1:
 time.append(datetime.now())
 cv2.imshow("captured", grey)
 cv2.imshow("delta", delta_frame)
 cv2.imshow("Threshold", thresh_frame)
 cv2.imshow("color frame", frame)

 key = cv2.waitKey(1)

 if key == ord('q'):
 if status == 1:
 time.append(datetime.now())
 break
 print(status)

print(status_list)
print(time)

for i in range(0, len(time), 2):
 df = df.append({"Start" : time[i], "End": time[i+1]}, ignore_index=True)

df.to_csv("Times.csv")



video.release()
cv2.destroyAllWindows()

2 changes: 2 additions & 0 deletions
scripts/WebCam Motion Detector/Readme.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,2 @@
### Web Cam Motion Detector
Download and run the above python code to activate the motion detector.