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make Ingest Test files work and document them #5

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harsha-simhadri opened this issue Sep 3, 2017 · 0 comments
Closed

make Ingest Test files work and document them #5

harsha-simhadri opened this issue Sep 3, 2017 · 0 comments
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@harsha-simhadri harsha-simhadri self-assigned this Sep 3, 2017
krantikiran68 added a commit that referenced this issue Mar 30, 2021
* 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
Anirudh0707 pushed a commit to Anirudh0707/EdgeML that referenced this issue Jul 2, 2021
# This is the 1st commit message:

Conv1d and batchnorm1d layers

# This is the commit message microsoft#2:

Created BatchNorm1d, TanhGate activation and dscnn blocks

# This is the commit message microsoft#3:

Trials for the keyword spotting sub-modules

# This is the commit message microsoft#4:

Update README

# This is the commit message microsoft#5:

Keyword spotting network and test-benches created

# This is the commit message microsoft#6:

Clocking keyword detection trials

# This is the commit message microsoft#7:

Moving large files via git lfs
ShikharJ added a commit that referenced this issue Jul 8, 2021
* Copying new seedot files

* Added batching for compiling large programs without blowing up memory

* Updated README.md to FastGRNN example

* Fixed copyright messages, included m3 codegen files

* Removed unnecessary commented code

* Added high level comments and added dlx executables

* Fixed formatting of C/C++ files

* Adding architecture diagram

* Adding tutorial on extending the compiler

* Fix typo

* Fix Scale Nomenclature and Remove Redundant Function Arguments in MatVec Code

* Consolidate c_reference/ and m3/library codes

* Revise C and C++ Code To The Agreed Convention

* Remove Redundant M3 Library and Add TODO for Memory Management

* Re-Index Sparse Model According to Optimal Strategy

* Fix Redundant Array Issue

* Fix stray spaces and grammatical issues

* Make Multi-Dimensional Arrays Uni-Dimensional for M3

* Hacky Fix for Widx and Uidx

* Fix Grammar and Remove Unused Code

* Make SeeDot Directly Runnable

* Remove Stray Spaces

* Fix Grammar

* Fix Comments

* Incorporate Changes from Aayan

* Fix x86 pipeline on FirstFitPriority

* Optimize x86 pipeline on FirstFitPriority

* Add Wno-narrowing flag to x86 codegen

* Prettier Printing.  (#1)

* 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

* Minor Improvements

* Changes to improve README.md in SeeDot and respective modifications. (#2)

* 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 instructions to fetch face detection dataset and licenses to newly 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

* Changes to face detection readme  (#4)

* 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

* Minor Nitpicks

* Fixed copy instructions in faceDetection.md (#5)

* 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 check added to build.py (#6)

* 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

* Data processing (#7)

* 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

* The script to fix ranges (#8)

* 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

* ONNX dependency added to README (#9)

* 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

* Minor Fixes

* Improve README

Co-authored-by: ShikharJ <jaiswalshikhar87@gmail.com>
Co-authored-by: G Rahul Kranti Kiran <krantikiran.68@gmail.com>
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