VIT - S46878467 by HaadiQureshi · Pull Request #176 · shakes76/PatternAnalysis-2023

HaadiQureshi · 2023-10-27T13:12:40Z

I had an approved late submission of 1 week, submitting on time. Regards

This is a test to ensure the repository and commits are correctly set up

Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

Set-up data loading pipelines for training, validation, and testing

Slight modification to code as error persisted

Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

define the core components of your recognition model using classes or functions.

Increased Epoch to get high accuracy

Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Testing to see what would give highest accuracy. This gave 0.68

First proper update on readme.md. Still need to add graphs

…s-2023

LinfengLiu98 · 2023-11-08T07:17:59Z

This is an initial inspection, no action is required at this point

Difficulty: Hard

Readme:

Missing model details. Need to explain what the model structure is and how it works to show your understanding of it.
Only the test accuracy plot is shown. No training accuracy and validation accuracy.

Commit messages: good, need more detail on which has been modified instead of just uploading files.

Code:

Uses Vision transformer
Comments mainly in the model design. Less comments in the data loader training loop and prediction file.
Good design

Functionality/Performance:

No patient-level split
Model is overfitting
Accuracy is only 0.53

General comments:
PR is in the main branch

Solves the problem appropriately although performance is poor
No patient-level split so the model is overfitting. Also need to do some hyperparameter search which hasn't been shown in the report.

shakes76 · 2023-11-20T23:44:39Z

Marking

Good Practice (Design/Commenting, TF/Torch Usage)

Adequate design and implementation
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem poor performance < 0.6 -1
Driver Script present
File structure present but code needs to be in own folder -2
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage, no patient level split -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable, no refs -1
Model/technical explanation missing -1
Good Description and Comments
Markdown used and PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in InCorrect Branch) -2
Feedback required, need to move code into own folder and use correct branch -2
Request Description minimal -1

shakes76 · 2023-11-20T23:44:54Z

Feedback marks possible +2 if the requested changes are made (see above).

wangzhaomxy · 2023-11-21T07:22:22Z

No feedback attempt and no feedback marks granted.

HaadiQureshi · 2023-10-27T13:12:40Z

I had an approved late submission of 1 week, submitting on time. Regards

This is a test to ensure the repository and commits are correctly set up

Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

Set-up data loading pipelines for training, validation, and testing

Slight modification to code as error persisted

Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

define the core components of your recognition model using classes or functions.

Increased Epoch to get high accuracy

Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Testing to see what would give highest accuracy. This gave 0.68

First proper update on readme.md. Still need to add graphs

…s-2023

LinfengLiu98 · 2023-11-08T07:17:59Z

This is an initial inspection, no action is required at this point

Difficulty: Hard

Readme:

Missing model details. Need to explain what the model structure is and how it works to show your understanding of it.
Only the test accuracy plot is shown. No training accuracy and validation accuracy.

Commit messages: good, need more detail on which has been modified instead of just uploading files.

Code:

Uses Vision transformer
Comments mainly in the model design. Less comments in the data loader training loop and prediction file.
Good design

Functionality/Performance:

No patient-level split
Model is overfitting
Accuracy is only 0.53

General comments:
PR is in the main branch

Solves the problem appropriately although performance is poor
No patient-level split so the model is overfitting. Also need to do some hyperparameter search which hasn't been shown in the report.

shakes76 · 2023-11-20T23:44:39Z

Marking

Good Practice (Design/Commenting, TF/Torch Usage)

Adequate design and implementation
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem poor performance < 0.6 -1
Driver Script present
File structure present but code needs to be in own folder -2
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage, no patient level split -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable, no refs -1
Model/technical explanation missing -1
Good Description and Comments
Markdown used and PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in InCorrect Branch) -2
Feedback required, need to move code into own folder and use correct branch -2
Request Description minimal -1

shakes76 · 2023-11-20T23:44:54Z

Feedback marks possible +2 if the requested changes are made (see above).

wangzhaomxy · 2023-11-21T07:22:22Z

No feedback attempt and no feedback marks granted.

HaadiQureshi · 2023-10-27T13:12:40Z

I had an approved late submission of 1 week, submitting on time. Regards

This is a test to ensure the repository and commits are correctly set up

Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

Set-up data loading pipelines for training, validation, and testing

Slight modification to code as error persisted

Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

define the core components of your recognition model using classes or functions.

Increased Epoch to get high accuracy

Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Testing to see what would give highest accuracy. This gave 0.68

First proper update on readme.md. Still need to add graphs

…s-2023

LinfengLiu98 · 2023-11-08T07:17:59Z

This is an initial inspection, no action is required at this point

Difficulty: Hard

Readme:

Missing model details. Need to explain what the model structure is and how it works to show your understanding of it.
Only the test accuracy plot is shown. No training accuracy and validation accuracy.

Commit messages: good, need more detail on which has been modified instead of just uploading files.

Code:

Uses Vision transformer
Comments mainly in the model design. Less comments in the data loader training loop and prediction file.
Good design

Functionality/Performance:

No patient-level split
Model is overfitting
Accuracy is only 0.53

General comments:
PR is in the main branch

Solves the problem appropriately although performance is poor
No patient-level split so the model is overfitting. Also need to do some hyperparameter search which hasn't been shown in the report.

shakes76 · 2023-11-20T23:44:39Z

Marking

Good Practice (Design/Commenting, TF/Torch Usage)

Adequate design and implementation
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem poor performance < 0.6 -1
Driver Script present
File structure present but code needs to be in own folder -2
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage, no patient level split -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable, no refs -1
Model/technical explanation missing -1
Good Description and Comments
Markdown used and PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in InCorrect Branch) -2
Feedback required, need to move code into own folder and use correct branch -2
Request Description minimal -1

shakes76 · 2023-11-20T23:44:54Z

Feedback marks possible +2 if the requested changes are made (see above).

wangzhaomxy · 2023-11-21T07:22:22Z

No feedback attempt and no feedback marks granted.

HaadiQureshi · 2023-10-27T13:12:40Z

I had an approved late submission of 1 week, submitting on time. Regards

This is a test to ensure the repository and commits are correctly set up

Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

Set-up data loading pipelines for training, validation, and testing

Slight modification to code as error persisted

Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

define the core components of your recognition model using classes or functions.

Increased Epoch to get high accuracy

Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Testing to see what would give highest accuracy. This gave 0.68

First proper update on readme.md. Still need to add graphs

…s-2023

LinfengLiu98 · 2023-11-08T07:17:59Z

This is an initial inspection, no action is required at this point

Difficulty: Hard

Readme:

Missing model details. Need to explain what the model structure is and how it works to show your understanding of it.
Only the test accuracy plot is shown. No training accuracy and validation accuracy.

Commit messages: good, need more detail on which has been modified instead of just uploading files.

Code:

Uses Vision transformer
Comments mainly in the model design. Less comments in the data loader training loop and prediction file.
Good design

Functionality/Performance:

No patient-level split
Model is overfitting
Accuracy is only 0.53

General comments:
PR is in the main branch

Solves the problem appropriately although performance is poor
No patient-level split so the model is overfitting. Also need to do some hyperparameter search which hasn't been shown in the report.

shakes76 · 2023-11-20T23:44:39Z

Marking

Good Practice (Design/Commenting, TF/Torch Usage)

Adequate design and implementation
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem poor performance < 0.6 -1
Driver Script present
File structure present but code needs to be in own folder -2
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage, no patient level split -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable, no refs -1
Model/technical explanation missing -1
Good Description and Comments
Markdown used and PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in InCorrect Branch) -2
Feedback required, need to move code into own folder and use correct branch -2
Request Description minimal -1

shakes76 · 2023-11-20T23:44:54Z

Feedback marks possible +2 if the requested changes are made (see above).

wangzhaomxy · 2023-11-21T07:22:22Z

No feedback attempt and no feedback marks granted.

HaadiQureshi · 2023-10-27T13:12:40Z

I had an approved late submission of 1 week, submitting on time. Regards

This is a test to ensure the repository and commits are correctly set up

Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

Set-up data loading pipelines for training, validation, and testing

Slight modification to code as error persisted

Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

define the core components of your recognition model using classes or functions.

Increased Epoch to get high accuracy

Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Testing to see what would give highest accuracy. This gave 0.68

First proper update on readme.md. Still need to add graphs

…s-2023

LinfengLiu98 · 2023-11-08T07:17:59Z

This is an initial inspection, no action is required at this point

Difficulty: Hard

Readme:

Missing model details. Need to explain what the model structure is and how it works to show your understanding of it.
Only the test accuracy plot is shown. No training accuracy and validation accuracy.

Commit messages: good, need more detail on which has been modified instead of just uploading files.

Code:

Uses Vision transformer
Comments mainly in the model design. Less comments in the data loader training loop and prediction file.
Good design

Functionality/Performance:

No patient-level split
Model is overfitting
Accuracy is only 0.53

General comments:
PR is in the main branch

Solves the problem appropriately although performance is poor
No patient-level split so the model is overfitting. Also need to do some hyperparameter search which hasn't been shown in the report.

shakes76 · 2023-11-20T23:44:39Z

Marking

Good Practice (Design/Commenting, TF/Torch Usage)

Adequate design and implementation
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem poor performance < 0.6 -1
Driver Script present
File structure present but code needs to be in own folder -2
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage, no patient level split -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable, no refs -1
Model/technical explanation missing -1
Good Description and Comments
Markdown used and PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in InCorrect Branch) -2
Feedback required, need to move code into own folder and use correct branch -2
Request Description minimal -1

shakes76 · 2023-11-20T23:44:54Z

Feedback marks possible +2 if the requested changes are made (see above).

wangzhaomxy · 2023-11-21T07:22:22Z

No feedback attempt and no feedback marks granted.

HaadiQureshi · 2023-10-27T13:12:40Z

I had an approved late submission of 1 week, submitting on time. Regards

This is a test to ensure the repository and commits are correctly set up

Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

Set-up data loading pipelines for training, validation, and testing

Slight modification to code as error persisted

Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

define the core components of your recognition model using classes or functions.

Increased Epoch to get high accuracy

Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Testing to see what would give highest accuracy. This gave 0.68

First proper update on readme.md. Still need to add graphs

…s-2023

LinfengLiu98 · 2023-11-08T07:17:59Z

This is an initial inspection, no action is required at this point

Difficulty: Hard

Readme:

Missing model details. Need to explain what the model structure is and how it works to show your understanding of it.
Only the test accuracy plot is shown. No training accuracy and validation accuracy.

Commit messages: good, need more detail on which has been modified instead of just uploading files.

Code:

Uses Vision transformer
Comments mainly in the model design. Less comments in the data loader training loop and prediction file.
Good design

Functionality/Performance:

No patient-level split
Model is overfitting
Accuracy is only 0.53

General comments:
PR is in the main branch

Solves the problem appropriately although performance is poor
No patient-level split so the model is overfitting. Also need to do some hyperparameter search which hasn't been shown in the report.

shakes76 · 2023-11-20T23:44:39Z

Marking

Good Practice (Design/Commenting, TF/Torch Usage)

Adequate design and implementation
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem poor performance < 0.6 -1
Driver Script present
File structure present but code needs to be in own folder -2
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage, no patient level split -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable, no refs -1
Model/technical explanation missing -1
Good Description and Comments
Markdown used and PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in InCorrect Branch) -2
Feedback required, need to move code into own folder and use correct branch -2
Request Description minimal -1

shakes76 · 2023-11-20T23:44:54Z

Feedback marks possible +2 if the requested changes are made (see above).

wangzhaomxy · 2023-11-21T07:22:22Z

No feedback attempt and no feedback marks granted.

HaadiQureshi · 2023-10-27T13:12:40Z

I had an approved late submission of 1 week, submitting on time. Regards

This is a test to ensure the repository and commits are correctly set up

Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

Set-up data loading pipelines for training, validation, and testing

Slight modification to code as error persisted

Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

define the core components of your recognition model using classes or functions.

Increased Epoch to get high accuracy

Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Testing to see what would give highest accuracy. This gave 0.68

First proper update on readme.md. Still need to add graphs

…s-2023

LinfengLiu98 · 2023-11-08T07:17:59Z

This is an initial inspection, no action is required at this point

Difficulty: Hard

Readme:

Missing model details. Need to explain what the model structure is and how it works to show your understanding of it.
Only the test accuracy plot is shown. No training accuracy and validation accuracy.

Commit messages: good, need more detail on which has been modified instead of just uploading files.

Code:

Uses Vision transformer
Comments mainly in the model design. Less comments in the data loader training loop and prediction file.
Good design

Functionality/Performance:

No patient-level split
Model is overfitting
Accuracy is only 0.53

General comments:
PR is in the main branch

Solves the problem appropriately although performance is poor
No patient-level split so the model is overfitting. Also need to do some hyperparameter search which hasn't been shown in the report.

shakes76 · 2023-11-20T23:44:39Z

Marking

Good Practice (Design/Commenting, TF/Torch Usage)

Adequate design and implementation
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem poor performance < 0.6 -1
Driver Script present
File structure present but code needs to be in own folder -2
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage, no patient level split -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable, no refs -1
Model/technical explanation missing -1
Good Description and Comments
Markdown used and PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in InCorrect Branch) -2
Feedback required, need to move code into own folder and use correct branch -2
Request Description minimal -1

shakes76 · 2023-11-20T23:44:54Z

Feedback marks possible +2 if the requested changes are made (see above).

wangzhaomxy · 2023-11-21T07:22:22Z

No feedback attempt and no feedback marks granted.

HaadiQureshi · 2023-10-27T13:12:40Z

I had an approved late submission of 1 week, submitting on time. Regards

This is a test to ensure the repository and commits are correctly set up

Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

Set-up data loading pipelines for training, validation, and testing

Slight modification to code as error persisted

Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

define the core components of your recognition model using classes or functions.

Increased Epoch to get high accuracy

Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Testing to see what would give highest accuracy. This gave 0.68

First proper update on readme.md. Still need to add graphs

…s-2023

LinfengLiu98 · 2023-11-08T07:17:59Z

This is an initial inspection, no action is required at this point

Difficulty: Hard

Readme:

Missing model details. Need to explain what the model structure is and how it works to show your understanding of it.
Only the test accuracy plot is shown. No training accuracy and validation accuracy.

Commit messages: good, need more detail on which has been modified instead of just uploading files.

Code:

Uses Vision transformer
Comments mainly in the model design. Less comments in the data loader training loop and prediction file.
Good design

Functionality/Performance:

No patient-level split
Model is overfitting
Accuracy is only 0.53

General comments:
PR is in the main branch

Solves the problem appropriately although performance is poor
No patient-level split so the model is overfitting. Also need to do some hyperparameter search which hasn't been shown in the report.

shakes76 · 2023-11-20T23:44:39Z

Marking

Good Practice (Design/Commenting, TF/Torch Usage)

Adequate design and implementation
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem poor performance < 0.6 -1
Driver Script present
File structure present but code needs to be in own folder -2
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage, no patient level split -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable, no refs -1
Model/technical explanation missing -1
Good Description and Comments
Markdown used and PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in InCorrect Branch) -2
Feedback required, need to move code into own folder and use correct branch -2
Request Description minimal -1

shakes76 · 2023-11-20T23:44:54Z

Feedback marks possible +2 if the requested changes are made (see above).

wangzhaomxy · 2023-11-21T07:22:22Z

No feedback attempt and no feedback marks granted.

HaadiQureshi added 17 commits October 23, 2023 03:55

VIT_init_test_1.py
278397a
This is a test to ensure the repository and commits are correctly set up

upload_file.py
8ba1b3e
Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

dataset.py
99733ad
Set-up data loading pipelines for training, validation, and testing

dataset.py
f60e732
Slight modification to code as error persisted

Update of dataset.py
56cfdd7
Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

source code of the components of your model
9233558
define the core components of your recognition model using classes or functions.

Tiny updates and increased epoch to 75
e2103f7
Increased Epoch to get high accuracy

Fixed tiny errors that came up upon testing
827e189

predict.py with 75 epoch and just accuracy plot
e3b9286
Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Update learning rate and epoch
b0cea17
Testing to see what would give highest accuracy. This gave 0.68

Update to the README.md
6a70144
First proper update on readme.md. Still need to add graphs

Delete upload_file.py
d78a6ad

Delete VIT_test.py
dd1e100

Update README.md
62e18da

Finalise train.py and predict.py
2261826

Merge branch 'main' ofhttps://github.com/HaadiQureshi/PatternAnalysi…
a6f7eeb
…s-2023

Update README.md url
ccdc0e5

nathasha-naranpanawa added the Transformer label Oct 29, 2023

shakes76 added the Extension Extension approved label Nov 20, 2023

shakes76 added the question Further information is requested label Nov 20, 2023

wangzhaomxy added Question_attempt and removed question Further information is requested labels Nov 21, 2023

HaadiQureshi added 17 commits October 23, 2023 03:55

VIT_init_test_1.py
278397a
This is a test to ensure the repository and commits are correctly set up

upload_file.py
8ba1b3e
Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

dataset.py
99733ad
Set-up data loading pipelines for training, validation, and testing

dataset.py
f60e732
Slight modification to code as error persisted

Update of dataset.py
56cfdd7
Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

source code of the components of your model
9233558
define the core components of your recognition model using classes or functions.

Tiny updates and increased epoch to 75
e2103f7
Increased Epoch to get high accuracy

Fixed tiny errors that came up upon testing
827e189

predict.py with 75 epoch and just accuracy plot
e3b9286
Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Update learning rate and epoch
b0cea17
Testing to see what would give highest accuracy. This gave 0.68

Update to the README.md
6a70144
First proper update on readme.md. Still need to add graphs

Delete upload_file.py
d78a6ad

Delete VIT_test.py
dd1e100

Update README.md
62e18da

Finalise train.py and predict.py
2261826

Merge branch 'main' ofhttps://github.com/HaadiQureshi/PatternAnalysi…
a6f7eeb
…s-2023

Update README.md url
ccdc0e5

nathasha-naranpanawa added the Transformer label Oct 29, 2023

shakes76 added the Extension Extension approved label Nov 20, 2023

shakes76 added the question Further information is requested label Nov 20, 2023

wangzhaomxy added Question_attempt and removed question Further information is requested labels Nov 21, 2023

HaadiQureshi added 17 commits October 23, 2023 03:55

VIT_init_test_1.py
278397a
This is a test to ensure the repository and commits are correctly set up

upload_file.py
8ba1b3e
Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

dataset.py
99733ad
Set-up data loading pipelines for training, validation, and testing

dataset.py
f60e732
Slight modification to code as error persisted

Update of dataset.py
56cfdd7
Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

source code of the components of your model
9233558
define the core components of your recognition model using classes or functions.

Tiny updates and increased epoch to 75
e2103f7
Increased Epoch to get high accuracy

Fixed tiny errors that came up upon testing
827e189

predict.py with 75 epoch and just accuracy plot
e3b9286
Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Update learning rate and epoch
b0cea17
Testing to see what would give highest accuracy. This gave 0.68

Update to the README.md
6a70144
First proper update on readme.md. Still need to add graphs

Delete upload_file.py
d78a6ad

Delete VIT_test.py
dd1e100

Update README.md
62e18da

Finalise train.py and predict.py
2261826

Merge branch 'main' ofhttps://github.com/HaadiQureshi/PatternAnalysi…
a6f7eeb
…s-2023

Update README.md url
ccdc0e5

nathasha-naranpanawa added the Transformer label Oct 29, 2023

shakes76 added the Extension Extension approved label Nov 20, 2023

shakes76 added the question Further information is requested label Nov 20, 2023

wangzhaomxy added Question_attempt and removed question Further information is requested labels Nov 21, 2023

HaadiQureshi added 17 commits October 23, 2023 03:55

VIT_init_test_1.py
278397a
This is a test to ensure the repository and commits are correctly set up

upload_file.py
8ba1b3e
Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

dataset.py
99733ad
Set-up data loading pipelines for training, validation, and testing

dataset.py
f60e732
Slight modification to code as error persisted

Update of dataset.py
56cfdd7
Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

source code of the components of your model
9233558
define the core components of your recognition model using classes or functions.

Tiny updates and increased epoch to 75
e2103f7
Increased Epoch to get high accuracy

Fixed tiny errors that came up upon testing
827e189

predict.py with 75 epoch and just accuracy plot
e3b9286
Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Update learning rate and epoch
b0cea17
Testing to see what would give highest accuracy. This gave 0.68

Update to the README.md
6a70144
First proper update on readme.md. Still need to add graphs

Delete upload_file.py
d78a6ad

Delete VIT_test.py
dd1e100

Update README.md
62e18da

Finalise train.py and predict.py
2261826

Merge branch 'main' ofhttps://github.com/HaadiQureshi/PatternAnalysi…
a6f7eeb
…s-2023

Update README.md url
ccdc0e5

nathasha-naranpanawa added the Transformer label Oct 29, 2023

shakes76 added the Extension Extension approved label Nov 20, 2023

shakes76 added the question Further information is requested label Nov 20, 2023

wangzhaomxy added Question_attempt and removed question Further information is requested labels Nov 21, 2023

HaadiQureshi added 17 commits October 23, 2023 03:55

VIT_init_test_1.py
278397a
This is a test to ensure the repository and commits are correctly set up

upload_file.py
8ba1b3e
Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

dataset.py
99733ad
Set-up data loading pipelines for training, validation, and testing

dataset.py
f60e732
Slight modification to code as error persisted

Update of dataset.py
56cfdd7
Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

source code of the components of your model
9233558
define the core components of your recognition model using classes or functions.

Tiny updates and increased epoch to 75
e2103f7
Increased Epoch to get high accuracy

Fixed tiny errors that came up upon testing
827e189

predict.py with 75 epoch and just accuracy plot
e3b9286
Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Update learning rate and epoch
b0cea17
Testing to see what would give highest accuracy. This gave 0.68

Update to the README.md
6a70144
First proper update on readme.md. Still need to add graphs

Delete upload_file.py
d78a6ad

Delete VIT_test.py
dd1e100

Update README.md
62e18da

Finalise train.py and predict.py
2261826

Merge branch 'main' ofhttps://github.com/HaadiQureshi/PatternAnalysi…
a6f7eeb
…s-2023

Update README.md url
ccdc0e5

nathasha-naranpanawa added the Transformer label Oct 29, 2023

shakes76 added the Extension Extension approved label Nov 20, 2023

shakes76 added the question Further information is requested label Nov 20, 2023

wangzhaomxy added Question_attempt and removed question Further information is requested labels Nov 21, 2023

HaadiQureshi added 17 commits October 23, 2023 03:55

VIT_init_test_1.py
278397a
This is a test to ensure the repository and commits are correctly set up

upload_file.py
8ba1b3e
Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

dataset.py
99733ad
Set-up data loading pipelines for training, validation, and testing

dataset.py
f60e732
Slight modification to code as error persisted

Update of dataset.py
56cfdd7
Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

source code of the components of your model
9233558
define the core components of your recognition model using classes or functions.

Tiny updates and increased epoch to 75
e2103f7
Increased Epoch to get high accuracy

Fixed tiny errors that came up upon testing
827e189

predict.py with 75 epoch and just accuracy plot
e3b9286
Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Update learning rate and epoch
b0cea17
Testing to see what would give highest accuracy. This gave 0.68

Update to the README.md
6a70144
First proper update on readme.md. Still need to add graphs

Delete upload_file.py
d78a6ad

Delete VIT_test.py
dd1e100

Update README.md
62e18da

Finalise train.py and predict.py
2261826

Merge branch 'main' ofhttps://github.com/HaadiQureshi/PatternAnalysi…
a6f7eeb
…s-2023

Update README.md url
ccdc0e5

nathasha-naranpanawa added the Transformer label Oct 29, 2023

shakes76 added the Extension Extension approved label Nov 20, 2023

shakes76 added the question Further information is requested label Nov 20, 2023

wangzhaomxy added Question_attempt and removed question Further information is requested labels Nov 21, 2023

HaadiQureshi added 17 commits October 23, 2023 03:55

VIT_init_test_1.py
278397a
This is a test to ensure the repository and commits are correctly set up

upload_file.py
8ba1b3e
Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

dataset.py
99733ad
Set-up data loading pipelines for training, validation, and testing

dataset.py
f60e732
Slight modification to code as error persisted

Update of dataset.py
56cfdd7
Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

source code of the components of your model
9233558
define the core components of your recognition model using classes or functions.

Tiny updates and increased epoch to 75
e2103f7
Increased Epoch to get high accuracy

Fixed tiny errors that came up upon testing
827e189

predict.py with 75 epoch and just accuracy plot
e3b9286
Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Update learning rate and epoch
b0cea17
Testing to see what would give highest accuracy. This gave 0.68

Update to the README.md
6a70144
First proper update on readme.md. Still need to add graphs

Delete upload_file.py
d78a6ad

Delete VIT_test.py
dd1e100

Update README.md
62e18da

Finalise train.py and predict.py
2261826

Merge branch 'main' ofhttps://github.com/HaadiQureshi/PatternAnalysi…
a6f7eeb
…s-2023

Update README.md url
ccdc0e5

nathasha-naranpanawa added the Transformer label Oct 29, 2023

shakes76 added the Extension Extension approved label Nov 20, 2023

shakes76 added the question Further information is requested label Nov 20, 2023

wangzhaomxy added Question_attempt and removed question Further information is requested labels Nov 21, 2023

HaadiQureshi added 17 commits October 23, 2023 03:55

VIT_init_test_1.py
278397a
This is a test to ensure the repository and commits are correctly set up

upload_file.py
8ba1b3e
Converting them to a format suitable for machine learning, organizing them into groups, and creating labels

dataset.py
99733ad
Set-up data loading pipelines for training, validation, and testing

dataset.py
f60e732
Slight modification to code as error persisted

Update of dataset.py
56cfdd7
Completely changed dataset.py as previously it dealt with 2d images, now updated for 3d

source code of the components of your model
9233558
define the core components of your recognition model using classes or functions.

Tiny updates and increased epoch to 75
e2103f7
Increased Epoch to get high accuracy

Fixed tiny errors that came up upon testing
827e189

predict.py with 75 epoch and just accuracy plot
e3b9286
Just copied the accuracies from the output file in rangpur and plotted it against the epoch

Update learning rate and epoch
b0cea17
Testing to see what would give highest accuracy. This gave 0.68

Update to the README.md
6a70144
First proper update on readme.md. Still need to add graphs

Delete upload_file.py
d78a6ad

Delete VIT_test.py
dd1e100

Update README.md
62e18da

Finalise train.py and predict.py
2261826

Merge branch 'main' ofhttps://github.com/HaadiQureshi/PatternAnalysi…
a6f7eeb
…s-2023

Update README.md url
ccdc0e5

nathasha-naranpanawa added the Transformer label Oct 29, 2023

shakes76 added the Extension Extension approved label Nov 20, 2023

shakes76 added the question Further information is requested label Nov 20, 2023

wangzhaomxy added Question_attempt and removed question Further information is requested labels Nov 21, 2023

Conversation

HaadiQureshi commented Oct 27, 2023

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shakes76 commented Nov 20, 2023

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HaadiQureshi commented Oct 27, 2023

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LinfengLiu98 commented Nov 8, 2023• edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Uh oh!

shakes76 commented Nov 20, 2023

Marking

Good Practice (Design/Commenting, TF/Torch Usage)

Recognition Problem

Commit Log

Documentation

Pull Request

Uh oh!

shakes76 commented Nov 20, 2023

Uh oh!

wangzhaomxy commented Nov 21, 2023

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

5 participants

Conversation

HaadiQureshi commented Oct 27, 2023

Uh oh!

LinfengLiu98 commented Nov 8, 2023• edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Uh oh!

shakes76 commented Nov 20, 2023

Marking

Good Practice (Design/Commenting, TF/Torch Usage)

Recognition Problem

Commit Log

Documentation

Pull Request

Uh oh!

shakes76 commented Nov 20, 2023

Uh oh!

wangzhaomxy commented Nov 21, 2023

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

5 participants

Conversation

HaadiQureshi commented Oct 27, 2023

LinfengLiu98 commented Nov 8, 2023•
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LinfengLiu98 commented Nov 8, 2023•
edited
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