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Shiftry Release Code #213

Merged
merged 41 commits into from
Jul 8, 2021
Merged

Shiftry Release Code #213

merged 41 commits into from
Jul 8, 2021

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aayan636
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@aayan636 aayan636 commented Nov 6, 2020

No description provided.

@ShikharJ
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ShikharJ commented Dec 11, 2020

@rahsharmar @harsha-simhadri All the latest changes have been pushed to this PR, and from hereon, this code should be referred for the latest release for SeeDot. Regarding the code with the hacks for Face Detection models, I'll open a separate branch and push a slightly modified version of this code there for use in our Jupyter Notebook.

@harsha-simhadri
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@aayan636 @ShikharJ shall we close this PR since you are working on the SeeDOT-Face-Detection branch for this PR?

@ShikharJ
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ShikharJ commented Jan 1, 2021

I don't think that'd be a good idea, since this PR has diverged from the SeeDOT-Face-Detection PR, in the sense that it doesn't contain any hacky codes. The latter is geared more towards the Medium post, and as such has files which don't need to be committed to master branch.

@ShikharJ ShikharJ force-pushed the new-seedot branch 2 times, most recently from 03cf277 to 39668ef Compare January 5, 2021 09:55
@ShikharJ
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ShikharJ commented Apr 6, 2021

@harsha-simhadri Can we get this merged?

@ShikharJ ShikharJ changed the title Copying new seedot files Shiftry Release Code Jul 1, 2021
ShikharJ and others added 22 commits July 6, 2021 11:53
* Replaced the print stagement using logging (error, warning, info and debug levels used).
Added progress bar using tqdm package in performSearch function for the 4 stages of exploration.
Changes Antlr Check version to 4.9.1.
Added requirements.txt

* Added more information to the print statment that prints the stage of exploration.

* Added log level as a command line argument.
Added  descriptive error messages.

* Reverted parameters to old state

* Slight changes to the strings printed by logging

* Resolved formatting comments

* Updated README.md with comand to change logging level

* Converted the log level input arguments to lowercase strings
)

* Replaced the print stagement using logging (error, warning, info and debug levels used).
Added progress bar using tqdm package in performSearch function for the 4 stages of exploration.
Changes Antlr Check version to 4.9.1.
Added requirements.txt

* Added more information to the print statment that prints the stage of exploration.

* Added log level as a command line argument.
Added  descriptive error messages.

* Reverted parameters to old state

* Slight changes to the strings printed by logging

* Resolved formatting comments

* Updated README.md with comand to change logging level

* Converted the log level input arguments to lowercase strings

* Updated requirements and Readme

* Replaced argument version with argument encoding
Removed dependency on Results.csv

* Readme formatting change

* Changed the help strings in argument parser, renamed rnn as fastgrnn

* Some more changes to SeeDot-dev.py for the argument parser.
Added line that shows that the available fastgrnn model belongs to usps10 dataset.

* Added descriptive comments to python files except ONNX and TF folders.

* Removed unnecessary comma in launch.json

* Corrected default SeeDot values in README.md

* Minor changes to improv README.md's readablility.

* Added legacy_scales.csv and restored the legacy_scales processor in SeeDot-dev.py

* Replaced rnn keyword with fastgrnn in launch.json

* Changed all comments to a single format

* Added face detection run instructions.
Removed lsf flag from README and uppressed it in help.

* Replaced maximisingMetric with metric in the main.py, config.py and test.py.
Made the respective changes in README.md.

* Removed instructions to run face detection

* Architecture.md started

* Architecture.md iteration 1 completed

* Improved line spacing

* Removed incorrect line

* Replaced architecture.svg

* replaced version with encoding

* made FastGRNN on usps10 with reduced disagreemts the default for seedot

* Points added to architecture.md

* Included suggestions from reviewer.
…wly added files (#3)

* Replaced the print stagement using logging (error, warning, info and debug levels used).
Added progress bar using tqdm package in performSearch function for the 4 stages of exploration.
Changes Antlr Check version to 4.9.1.
Added requirements.txt

* Added more information to the print statment that prints the stage of exploration.

* Added log level as a command line argument.
Added  descriptive error messages.

* Reverted parameters to old state

* Slight changes to the strings printed by logging

* Resolved formatting comments

* Updated README.md with comand to change logging level

* Converted the log level input arguments to lowercase strings

* Updated requirements and Readme

* Replaced argument version with argument encoding
Removed dependency on Results.csv

* Readme formatting change

* Changed the help strings in argument parser, renamed rnn as fastgrnn

* Some more changes to SeeDot-dev.py for the argument parser.
Added line that shows that the available fastgrnn model belongs to usps10 dataset.

* Added descriptive comments to python files except ONNX and TF folders.

* Removed unnecessary comma in launch.json

* Corrected default SeeDot values in README.md

* Minor changes to improv README.md's readablility.

* Added legacy_scales.csv and restored the legacy_scales processor in SeeDot-dev.py

* Replaced rnn keyword with fastgrnn in launch.json

* Changed all comments to a single format

* Added face detection run instructions.
Removed lsf flag from README and uppressed it in help.

* Replaced maximisingMetric with metric in the main.py, config.py and test.py.
Made the respective changes in README.md.

* Removed instructions to run face detection

* Architecture.md started

* Architecture.md iteration 1 completed

* Improved line spacing

* Removed incorrect line

* Replaced architecture.svg

* replaced version with encoding

* made FastGRNN on usps10 with reduced disagreemts the default for seedot

* Points added to architecture.md

* Included suggestions from reviewer.

* Added rnnpool.sd to folder of seedot models

* Added faceDetection code fetcher

* Added face detection run instructions and licenses

* Updated face Detection instructions and readme.md

* Minor correction to readmes

* Added rnnpool as an option in SeeDot-dev.py

* Added support for face-2 dataset

* Error in cleanup in fetchFDDataset.py

* Added information about input to Predictor in faceDetection.md

* Included reviewr comments to fix typos

* Fixed typos in faceDetection.md

* Added code to run the quantized face detection on images

* Added instructions to run face detection on extra images in faceDetection.md

* Added argument support to scale_image.pu

* Fixed typos in faceDetection.md

* Added info about the output of eval_fromquant in faceDetection.md

* Added instructions to fetch an image in faceDetection.md

* Added load_sf condition to printing PASS or FAIL

* Added instructions to install libraries for detecting bounding boxes

* Minor changes to faceDetection.md and main.cpp

* Removed duplicate files from the repository and added instructions to copy them for running image to text converters and vice-versa

* Minor change to faceDetection.md
* Replaced the print stagement using logging (error, warning, info and debug levels used).
Added progress bar using tqdm package in performSearch function for the 4 stages of exploration.
Changes Antlr Check version to 4.9.1.
Added requirements.txt

* Added more information to the print statment that prints the stage of exploration.

* Added log level as a command line argument.
Added  descriptive error messages.

* Reverted parameters to old state

* Slight changes to the strings printed by logging

* Resolved formatting comments

* Updated README.md with comand to change logging level

* Converted the log level input arguments to lowercase strings

* Updated requirements and Readme

* Replaced argument version with argument encoding
Removed dependency on Results.csv

* Readme formatting change

* Changed the help strings in argument parser, renamed rnn as fastgrnn

* Some more changes to SeeDot-dev.py for the argument parser.
Added line that shows that the available fastgrnn model belongs to usps10 dataset.

* Added descriptive comments to python files except ONNX and TF folders.

* Removed unnecessary comma in launch.json

* Corrected default SeeDot values in README.md

* Minor changes to improv README.md's readablility.

* Added legacy_scales.csv and restored the legacy_scales processor in SeeDot-dev.py

* Replaced rnn keyword with fastgrnn in launch.json

* Changed all comments to a single format

* Added face detection run instructions.
Removed lsf flag from README and uppressed it in help.

* Replaced maximisingMetric with metric in the main.py, config.py and test.py.
Made the respective changes in README.md.

* Removed instructions to run face detection

* Architecture.md started

* Architecture.md iteration 1 completed

* Improved line spacing

* Removed incorrect line

* Replaced architecture.svg

* replaced version with encoding

* made FastGRNN on usps10 with reduced disagreemts the default for seedot

* Points added to architecture.md

* Included suggestions from reviewer.

* Added rnnpool.sd to folder of seedot models

* Added faceDetection code fetcher

* Added face detection run instructions and licenses

* Updated face Detection instructions and readme.md

* Minor correction to readmes

* Added rnnpool as an option in SeeDot-dev.py

* Added support for face-2 dataset

* Error in cleanup in fetchFDDataset.py

* Added information about input to Predictor in faceDetection.md

* Included reviewr comments to fix typos

* Fixed typos in faceDetection.md

* Added code to run the quantized face detection on images

* Added instructions to run face detection on extra images in faceDetection.md

* Added argument support to scale_image.pu

* Fixed typos in faceDetection.md

* Added info about the output of eval_fromquant in faceDetection.md

* Added instructions to fetch an image in faceDetection.md

* Added load_sf condition to printing PASS or FAIL

* Added instructions to install libraries for detecting bounding boxes

* Minor changes to faceDetection.md and main.cpp

* Removed duplicate files from the repository and added instructions to copy them for running image to text converters and vice-versa

* Minor change to faceDetection.md

* Updated faceDetection.md

* Added trace to seedot converstion scripts

* Fixed trace dimensions in convert_to_seedot files

* Removed torch from the requirements.txt file

* Updated face detection readme

* Updated faceDetection.md with corrected instructions to install edgeml_pytorch

* Reset the changes made to requiments-cpu.txt and requirements-gpu.txt in EdgeML/pytorch

* Added multi-line commands to face detection.md

* Added instructions for SeeDot installation as well

* Some more refactoring

* Merged the two convert_to_seedot_scripts into one

* fixed typo in convert_RPool_Face_to_SeeDot

* Minor addition to faceDetection.md
* Replaced the print stagement using logging (error, warning, info and debug levels used).
Added progress bar using tqdm package in performSearch function for the 4 stages of exploration.
Changes Antlr Check version to 4.9.1.
Added requirements.txt

* Added more information to the print statment that prints the stage of exploration.

* Added log level as a command line argument.
Added  descriptive error messages.

* Reverted parameters to old state

* Slight changes to the strings printed by logging

* Resolved formatting comments

* Updated README.md with comand to change logging level

* Converted the log level input arguments to lowercase strings

* Updated requirements and Readme

* Replaced argument version with argument encoding
Removed dependency on Results.csv

* Readme formatting change

* Changed the help strings in argument parser, renamed rnn as fastgrnn

* Some more changes to SeeDot-dev.py for the argument parser.
Added line that shows that the available fastgrnn model belongs to usps10 dataset.

* Added descriptive comments to python files except ONNX and TF folders.

* Removed unnecessary comma in launch.json

* Corrected default SeeDot values in README.md

* Minor changes to improv README.md's readablility.

* Added legacy_scales.csv and restored the legacy_scales processor in SeeDot-dev.py

* Replaced rnn keyword with fastgrnn in launch.json

* Changed all comments to a single format

* Added face detection run instructions.
Removed lsf flag from README and uppressed it in help.

* Replaced maximisingMetric with metric in the main.py, config.py and test.py.
Made the respective changes in README.md.

* Removed instructions to run face detection

* Architecture.md started

* Architecture.md iteration 1 completed

* Improved line spacing

* Removed incorrect line

* Replaced architecture.svg

* replaced version with encoding

* made FastGRNN on usps10 with reduced disagreemts the default for seedot

* Points added to architecture.md

* Included suggestions from reviewer.

* Added rnnpool.sd to folder of seedot models

* Added faceDetection code fetcher

* Added face detection run instructions and licenses

* Updated face Detection instructions and readme.md

* Minor correction to readmes

* Added rnnpool as an option in SeeDot-dev.py

* Added support for face-2 dataset

* Error in cleanup in fetchFDDataset.py

* Added information about input to Predictor in faceDetection.md

* Included reviewr comments to fix typos

* Fixed typos in faceDetection.md

* Added code to run the quantized face detection on images

* Added instructions to run face detection on extra images in faceDetection.md

* Added argument support to scale_image.pu

* Fixed typos in faceDetection.md

* Added info about the output of eval_fromquant in faceDetection.md

* Added instructions to fetch an image in faceDetection.md

* Added load_sf condition to printing PASS or FAIL

* Added instructions to install libraries for detecting bounding boxes

* Minor changes to faceDetection.md and main.cpp

* Removed duplicate files from the repository and added instructions to copy them for running image to text converters and vice-versa

* Minor change to faceDetection.md

* Updated faceDetection.md

* Added trace to seedot converstion scripts

* Fixed trace dimensions in convert_to_seedot files

* Removed torch from the requirements.txt file

* Updated face detection readme

* Updated faceDetection.md with corrected instructions to install edgeml_pytorch

* Reset the changes made to requiments-cpu.txt and requirements-gpu.txt in EdgeML/pytorch

* Added multi-line commands to face detection.md

* Added instructions for SeeDot installation as well

* Some more refactoring

* Merged the two convert_to_seedot_scripts into one

* fixed typo in convert_RPool_Face_to_SeeDot

* Minor addition to faceDetection.md

* Fixed location of copying from SCUT_Head_Part_B

* Minor addition to faceDetection.md
* Replaced the print stagement using logging (error, warning, info and debug levels used).
Added progress bar using tqdm package in performSearch function for the 4 stages of exploration.
Changes Antlr Check version to 4.9.1.
Added requirements.txt

* Added more information to the print statment that prints the stage of exploration.

* Added log level as a command line argument.
Added  descriptive error messages.

* Reverted parameters to old state

* Slight changes to the strings printed by logging

* Resolved formatting comments

* Updated README.md with comand to change logging level

* Converted the log level input arguments to lowercase strings

* Updated requirements and Readme

* Replaced argument version with argument encoding
Removed dependency on Results.csv

* Readme formatting change

* Changed the help strings in argument parser, renamed rnn as fastgrnn

* Some more changes to SeeDot-dev.py for the argument parser.
Added line that shows that the available fastgrnn model belongs to usps10 dataset.

* Added descriptive comments to python files except ONNX and TF folders.

* Removed unnecessary comma in launch.json

* Corrected default SeeDot values in README.md

* Minor changes to improv README.md's readablility.

* Added legacy_scales.csv and restored the legacy_scales processor in SeeDot-dev.py

* Replaced rnn keyword with fastgrnn in launch.json

* Changed all comments to a single format

* Added face detection run instructions.
Removed lsf flag from README and uppressed it in help.

* Replaced maximisingMetric with metric in the main.py, config.py and test.py.
Made the respective changes in README.md.

* Removed instructions to run face detection

* Architecture.md started

* Architecture.md iteration 1 completed

* Improved line spacing

* Removed incorrect line

* Replaced architecture.svg

* replaced version with encoding

* made FastGRNN on usps10 with reduced disagreemts the default for seedot

* Points added to architecture.md

* Included suggestions from reviewer.

* Added rnnpool.sd to folder of seedot models

* Added faceDetection code fetcher

* Added face detection run instructions and licenses

* Updated face Detection instructions and readme.md

* Minor correction to readmes

* Added rnnpool as an option in SeeDot-dev.py

* Added support for face-2 dataset

* Error in cleanup in fetchFDDataset.py

* Added information about input to Predictor in faceDetection.md

* Included reviewr comments to fix typos

* Fixed typos in faceDetection.md

* Added code to run the quantized face detection on images

* Added instructions to run face detection on extra images in faceDetection.md

* Added argument support to scale_image.pu

* Fixed typos in faceDetection.md

* Added info about the output of eval_fromquant in faceDetection.md

* Added instructions to fetch an image in faceDetection.md

* Added load_sf condition to printing PASS or FAIL

* Added instructions to install libraries for detecting bounding boxes

* Minor changes to faceDetection.md and main.cpp

* Removed duplicate files from the repository and added instructions to copy them for running image to text converters and vice-versa

* Minor change to faceDetection.md

* Updated faceDetection.md

* Added trace to seedot converstion scripts

* Fixed trace dimensions in convert_to_seedot files

* Removed torch from the requirements.txt file

* Updated face detection readme

* Updated faceDetection.md with corrected instructions to install edgeml_pytorch

* Reset the changes made to requiments-cpu.txt and requirements-gpu.txt in EdgeML/pytorch

* Added multi-line commands to face detection.md

* Added instructions for SeeDot installation as well

* Some more refactoring

* Merged the two convert_to_seedot_scripts into one

* fixed typo in convert_RPool_Face_to_SeeDot

* Minor addition to faceDetection.md

* Fixed location of copying from SCUT_Head_Part_B

* Minor addition to faceDetection.md

* Gcc version restriction added to seedot/Predictor/Makefile

* Added GCC version check to SeeDot

* Removed extra new-line
* Replaced the print stagement using logging (error, warning, info and debug levels used).
Added progress bar using tqdm package in performSearch function for the 4 stages of exploration.
Changes Antlr Check version to 4.9.1.
Added requirements.txt

* Added more information to the print statment that prints the stage of exploration.

* Added log level as a command line argument.
Added  descriptive error messages.

* Reverted parameters to old state

* Slight changes to the strings printed by logging

* Resolved formatting comments

* Updated README.md with comand to change logging level

* Converted the log level input arguments to lowercase strings

* Updated requirements and Readme

* Replaced argument version with argument encoding
Removed dependency on Results.csv

* Readme formatting change

* Changed the help strings in argument parser, renamed rnn as fastgrnn

* Some more changes to SeeDot-dev.py for the argument parser.
Added line that shows that the available fastgrnn model belongs to usps10 dataset.

* Added descriptive comments to python files except ONNX and TF folders.

* Removed unnecessary comma in launch.json

* Corrected default SeeDot values in README.md

* Minor changes to improv README.md's readablility.

* Added legacy_scales.csv and restored the legacy_scales processor in SeeDot-dev.py

* Replaced rnn keyword with fastgrnn in launch.json

* Changed all comments to a single format

* Added face detection run instructions.
Removed lsf flag from README and uppressed it in help.

* Replaced maximisingMetric with metric in the main.py, config.py and test.py.
Made the respective changes in README.md.

* Removed instructions to run face detection

* Architecture.md started

* Architecture.md iteration 1 completed

* Improved line spacing

* Removed incorrect line

* Replaced architecture.svg

* replaced version with encoding

* made FastGRNN on usps10 with reduced disagreemts the default for seedot

* Points added to architecture.md

* Included suggestions from reviewer.

* Added rnnpool.sd to folder of seedot models

* Added faceDetection code fetcher

* Added face detection run instructions and licenses

* Updated face Detection instructions and readme.md

* Minor correction to readmes

* Added rnnpool as an option in SeeDot-dev.py

* Added support for face-2 dataset

* Error in cleanup in fetchFDDataset.py

* Added information about input to Predictor in faceDetection.md

* Included reviewr comments to fix typos

* Fixed typos in faceDetection.md

* Added code to run the quantized face detection on images

* Added instructions to run face detection on extra images in faceDetection.md

* Added argument support to scale_image.pu

* Fixed typos in faceDetection.md

* Added info about the output of eval_fromquant in faceDetection.md

* Added instructions to fetch an image in faceDetection.md

* Added load_sf condition to printing PASS or FAIL

* Added instructions to install libraries for detecting bounding boxes

* Minor changes to faceDetection.md and main.cpp

* Removed duplicate files from the repository and added instructions to copy them for running image to text converters and vice-versa

* Minor change to faceDetection.md

* Updated faceDetection.md

* Added trace to seedot converstion scripts

* Fixed trace dimensions in convert_to_seedot files

* Removed torch from the requirements.txt file

* Updated face detection readme

* Updated faceDetection.md with corrected instructions to install edgeml_pytorch

* Reset the changes made to requiments-cpu.txt and requirements-gpu.txt in EdgeML/pytorch

* Added multi-line commands to face detection.md

* Added instructions for SeeDot installation as well

* Some more refactoring

* Merged the two convert_to_seedot_scripts into one

* fixed typo in convert_RPool_Face_to_SeeDot

* Minor addition to faceDetection.md

* Fixed location of copying from SCUT_Head_Part_B

* Minor addition to faceDetection.md

* Gcc version restriction added to seedot/Predictor/Makefile

* Added GCC version check to SeeDot

* Removed extra new-line

* Added data preprocessing line
* Replaced the print stagement using logging (error, warning, info and debug levels used).
Added progress bar using tqdm package in performSearch function for the 4 stages of exploration.
Changes Antlr Check version to 4.9.1.
Added requirements.txt

* Added more information to the print statment that prints the stage of exploration.

* Added log level as a command line argument.
Added  descriptive error messages.

* Reverted parameters to old state

* Slight changes to the strings printed by logging

* Resolved formatting comments

* Updated README.md with comand to change logging level

* Converted the log level input arguments to lowercase strings

* Updated requirements and Readme

* Replaced argument version with argument encoding
Removed dependency on Results.csv

* Readme formatting change

* Changed the help strings in argument parser, renamed rnn as fastgrnn

* Some more changes to SeeDot-dev.py for the argument parser.
Added line that shows that the available fastgrnn model belongs to usps10 dataset.

* Added descriptive comments to python files except ONNX and TF folders.

* Removed unnecessary comma in launch.json

* Corrected default SeeDot values in README.md

* Minor changes to improv README.md's readablility.

* Added legacy_scales.csv and restored the legacy_scales processor in SeeDot-dev.py

* Replaced rnn keyword with fastgrnn in launch.json

* Changed all comments to a single format

* Added face detection run instructions.
Removed lsf flag from README and uppressed it in help.

* Replaced maximisingMetric with metric in the main.py, config.py and test.py.
Made the respective changes in README.md.

* Removed instructions to run face detection

* Architecture.md started

* Architecture.md iteration 1 completed

* Improved line spacing

* Removed incorrect line

* Replaced architecture.svg

* replaced version with encoding

* made FastGRNN on usps10 with reduced disagreemts the default for seedot

* Points added to architecture.md

* Included suggestions from reviewer.

* Added rnnpool.sd to folder of seedot models

* Added faceDetection code fetcher

* Added face detection run instructions and licenses

* Updated face Detection instructions and readme.md

* Minor correction to readmes

* Added rnnpool as an option in SeeDot-dev.py

* Added support for face-2 dataset

* Error in cleanup in fetchFDDataset.py

* Added information about input to Predictor in faceDetection.md

* Included reviewr comments to fix typos

* Fixed typos in faceDetection.md

* Added code to run the quantized face detection on images

* Added instructions to run face detection on extra images in faceDetection.md

* Added argument support to scale_image.pu

* Fixed typos in faceDetection.md

* Added info about the output of eval_fromquant in faceDetection.md

* Added instructions to fetch an image in faceDetection.md

* Added load_sf condition to printing PASS or FAIL

* Added instructions to install libraries for detecting bounding boxes

* Minor changes to faceDetection.md and main.cpp

* Removed duplicate files from the repository and added instructions to copy them for running image to text converters and vice-versa

* Minor change to faceDetection.md

* Updated faceDetection.md

* Added trace to seedot converstion scripts

* Fixed trace dimensions in convert_to_seedot files

* Removed torch from the requirements.txt file

* Updated face detection readme

* Updated faceDetection.md with corrected instructions to install edgeml_pytorch

* Reset the changes made to requiments-cpu.txt and requirements-gpu.txt in EdgeML/pytorch

* Added multi-line commands to face detection.md

* Added instructions for SeeDot installation as well

* Some more refactoring

* Merged the two convert_to_seedot_scripts into one

* fixed typo in convert_RPool_Face_to_SeeDot

* Minor addition to faceDetection.md

* Fixed location of copying from SCUT_Head_Part_B

* Minor addition to faceDetection.md

* Gcc version restriction added to seedot/Predictor/Makefile

* Added GCC version check to SeeDot

* Removed extra new-line

* Added data preprocessing line

* Added cpu conversion in convert_RPool_Face_to_SeeDot.py

* Added script to process seedot input files

* Increased precision of printing floating point in fixSeeDotInput.py

* Updated instructions to update ranges by script

* Add newline at the end of fixSeeDotInput.py
* Replaced the print stagement using logging (error, warning, info and debug levels used).
Added progress bar using tqdm package in performSearch function for the 4 stages of exploration.
Changes Antlr Check version to 4.9.1.
Added requirements.txt

* Added more information to the print statment that prints the stage of exploration.

* Added log level as a command line argument.
Added  descriptive error messages.

* Reverted parameters to old state

* Slight changes to the strings printed by logging

* Resolved formatting comments

* Updated README.md with comand to change logging level

* Converted the log level input arguments to lowercase strings

* Updated requirements and Readme

* Replaced argument version with argument encoding
Removed dependency on Results.csv

* Readme formatting change

* Changed the help strings in argument parser, renamed rnn as fastgrnn

* Some more changes to SeeDot-dev.py for the argument parser.
Added line that shows that the available fastgrnn model belongs to usps10 dataset.

* Added descriptive comments to python files except ONNX and TF folders.

* Removed unnecessary comma in launch.json

* Corrected default SeeDot values in README.md

* Minor changes to improv README.md's readablility.

* Added legacy_scales.csv and restored the legacy_scales processor in SeeDot-dev.py

* Replaced rnn keyword with fastgrnn in launch.json

* Changed all comments to a single format

* Added face detection run instructions.
Removed lsf flag from README and uppressed it in help.

* Replaced maximisingMetric with metric in the main.py, config.py and test.py.
Made the respective changes in README.md.

* Removed instructions to run face detection

* Architecture.md started

* Architecture.md iteration 1 completed

* Improved line spacing

* Removed incorrect line

* Replaced architecture.svg

* replaced version with encoding

* made FastGRNN on usps10 with reduced disagreemts the default for seedot

* Points added to architecture.md

* Included suggestions from reviewer.

* Added rnnpool.sd to folder of seedot models

* Added faceDetection code fetcher

* Added face detection run instructions and licenses

* Updated face Detection instructions and readme.md

* Minor correction to readmes

* Added rnnpool as an option in SeeDot-dev.py

* Added support for face-2 dataset

* Error in cleanup in fetchFDDataset.py

* Added information about input to Predictor in faceDetection.md

* Included reviewr comments to fix typos

* Fixed typos in faceDetection.md

* Added code to run the quantized face detection on images

* Added instructions to run face detection on extra images in faceDetection.md

* Added argument support to scale_image.pu

* Fixed typos in faceDetection.md

* Added info about the output of eval_fromquant in faceDetection.md

* Added instructions to fetch an image in faceDetection.md

* Added load_sf condition to printing PASS or FAIL

* Added instructions to install libraries for detecting bounding boxes

* Minor changes to faceDetection.md and main.cpp

* Removed duplicate files from the repository and added instructions to copy them for running image to text converters and vice-versa

* Minor change to faceDetection.md

* Updated faceDetection.md

* Added trace to seedot converstion scripts

* Fixed trace dimensions in convert_to_seedot files

* Removed torch from the requirements.txt file

* Updated face detection readme

* Updated faceDetection.md with corrected instructions to install edgeml_pytorch

* Reset the changes made to requiments-cpu.txt and requirements-gpu.txt in EdgeML/pytorch

* Added multi-line commands to face detection.md

* Added instructions for SeeDot installation as well

* Some more refactoring

* Merged the two convert_to_seedot_scripts into one

* fixed typo in convert_RPool_Face_to_SeeDot

* Minor addition to faceDetection.md

* Fixed location of copying from SCUT_Head_Part_B

* Minor addition to faceDetection.md

* Gcc version restriction added to seedot/Predictor/Makefile

* Added GCC version check to SeeDot

* Removed extra new-line

* Added data preprocessing line

* Added cpu conversion in convert_RPool_Face_to_SeeDot.py

* Added script to process seedot input files

* Increased precision of printing floating point in fixSeeDotInput.py

* Updated instructions to update ranges by script

* Add newline at the end of fixSeeDotInput.py

* Added ONNX as a dependencey in README
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This PR is complete now.

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ShikharJ commented Jul 8, 2021

@harsha-simhadri @aayan636 @rahsharmar I've done extensive testing and eyeballed the README instructions. I'm merging this in for now. Through our experiments on MinUn, we've discovered more improvements to the pipeline. Those will be pushed in a separate PR.

@ShikharJ ShikharJ merged commit ef9f8a7 into microsoft:master Jul 8, 2021
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4 participants