зеркало из https://github.com/microsoft/EdgeML.git
1 Коммитов
| Автор | SHA1 | Сообщение | Дата |
|---|---|---|---|
Aayan Kumar
|
ef9f8a77f0
|
Shiftry Release Code (#213)
* 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> |