* 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>
* Add Initial Face Detection Model Weights and Test Script
* Implement Q8 and Q15 typedefs and refactor code
* Refactor Convolutions and MaxPool
* Implement Additional Functions
* Refactor Sigmoid and Tanh Functions
* Refactor MBConv and Convert INTM_T to Q31_T
* Implement q15_t_l2_norm(), q7_t_add() and q15_t_add()
* Implement Face Detection Model Pipeline
* Reduce Static Parameters for RNNPool
Improvements to Makefiles and Test Script
* Additional Functions for RNNPool
Complete Face Detection Test Script
* Further Improvements
* Port Smaller Face Detection Model
* Code Cleanup and Streamlining
* MBConv Runtime Optimization
* Conv2D Runtime Optimization
* RNNPool Runtime Optimization; Implement Loop Unrolling As A Compile Time Macro; Removal of Unnecessary Operators
* Add Additional Tests and Documentation
* Minor Improvements
* Remove Model Weight Params
* Add Model Params Via Git LFS
* Incorporate Reviews
* Make Error Statements More Verbose
* Initial
* Implement Convolution and MaxPooling for all filter sizes
* Incorporate Review
* Additional Documentation
* Add Support for Dilations in q_maxpool() and q_convolution()
* Extend MBConv To Take Even Number Filter Sizes
* C_refernce functions(8) are added, Compilation done, No-warnings
* Function/loop/Condition coding style has been updated
* Remaining functions has been integrated, Conv,Convolution,Maxpool functions are yet to update
* Remaining functions are converted to C,(maxpool,convolution,conv) Compilation done, No-warning.
* Allignment and coding style updated.
* Unit test cases are added, Compilation done,Test done,No-warnings
* Review comments updated, added function header with more descriptive, Test cases results compared with c++ code and fixed some issues,Code allignment,Variable names are modified. Compilation done with 0 warnings
* Unit test cases for all functions has been added,Compilation done, 0 warnings.
* Fixed review comments
Signed-off-by: harsh dave <harsh.dave@vvdntech.in>
* Added shift operation for a division operation
* Resolved review comments. Fixed examples with correct scaling factor, Function description correction
* Added test cases for with SHIFT and FLOATEXP macros enabled. Modification in function definations when SHIFT macro is defined.
* Correction made in sigmoid function
* SHIFT operation is enabled by default
* SHIFT operation is enabled by default
* Revert Some Changes
* Remove Whitespaces
* Clean Up Nomenclature and Simplify API
* Reorder Functions; Implement v_q_sub_scalar(); Improve Tests and Documentation
* Integrate Calls to v_q_treesum()
* Remove q_convolution() and q_maxpool(); Enforce Better Type Checks
* Incorporate Review
Co-authored-by: Arun KV <arun.kv@vvdntech.in>
Co-authored-by: harsh dave <harsh.dave@vvdntech.in>
* Adding keras inference layer to be used along with tflite API proposed by Tensorflow in the 2.0 version. This helps to convert the pre-trained ProtoNN and Bonsai models into the tflite format and shows how to use this model for prediction using the tflite interpreter. Note that the model training still happens on the Tensorflow-1.15 version (this can be changed later in which case you'll be left with only the Bonsai and ProtoNN Keras layers). For using these utilities you will need to use the tensorflow-2.X for conversion.
* Added instructions to use the tflite model converter utilities and the Keras layers. Also updated the convert utility to include the quantization as an optimization step enabled by default. This also includes a bug fix in the requirements-gpu file which incorrectly uses an older version of the numpy library incompatible with the tensorflow version 1.15
* Included assertion that the converter utility works only on Tensorflow 2.X API.
* Port Initial SeeDot Code
* Simplify API and Reduce Code Duplication
* Add Test Dataset Parameters
* Fix Indentation, Pick Better Variable Names, Check Iterator Arithmetic, Add Test and Documentation
* Add Test for v_q_treesum()
* Add Support for SHIFT Operations
* Incorporate Harsha's Review
* Add Fixed Point Test
* Initial
* Import Aayan's Handwritten Code and Refactor
* Port 1.0: Refactor quantized rnnpool and fastgrnn; specific functions remaining
* Port 2.0: Use vectorial operations; simplify API
* Port 3.0: Restructuring and Minor Improvements
* Cleanup and Write Tests
* Fix Indentation Issues
* Add LICENSE headers to each file
* Change type names to appear more descriptive
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Shikhar Jaiswal
Aayan Kumar
Moksh Jain
Oindrila Saha
Harsha Vardhan Simhadri
dependabot[bot]
Sachin Goyal
KimSangYeon-DGU
Anil Kag
Pawan Kartik
Aditya Kusupati