[WIP] Add the config file of parameter tuner for object detection #275

Optimizer Selector へのパッチ

xml parser use xml.etree.ElementTree instead of BeautifulSoup4

Added pattern matching and new optimization passes

Optimizer Selector の PR コメント対応

Improve max pooling implementation

Improve average pooling implementation

Remove unsused variables and memory initilization

…le and accept new interface - Add Protobuf Loader Class to load and run graph using tensorflow

…eoil into output_gpu_inference_model

- Move import call from to logic scripts

… optimizer_selector

Fix non-existing path

- Update utls demo to accept python3 cv2 - Update utils demo to accept pyton3 cv2 and multiprocessing - Add pool interface to work with python 3 and 2 :

Adding support for resnet

- Raise exception if the file type is not recognized

Optimizer selector

Update pyyaml version for security

…_kn2row

…tyle yet)

…andard C++03.

…ization.

…ented as a memory

…function is constant

Improve kernel transform

Update version to 0.3.0

Add Blueoil CLI

-DUSE_OPENCV_MODULE=ON or OFF // default OFF.

- fix OpenCV library found / not found

- fix indent if <=> { space.

- Use initializer to pool - Refactor Protobuf Loader to use init

implement DatasetIterator class

…ueoil into add_qconv_kn2row_tiling

Add bug-fixed version of quantized convolution IP with kn2row and tiling

- Make exception message more clear - Return exception message before image load - Fix typo of argument model_path

…eoil into output_gpu_inference_model

Refactoring for source codes in dlk/backends directory

- Change unclear method names

…eoil into output_gpu_inference_model

…g-option

Enable to build AArch64 binary without llvm (using ppa GCC)

Remove redundant -g option in Makefile

Add timer to high cost part

- Fix logic when checking file type - Change readme to include x86 and ARM

…eoil into output_gpu_inference_model

…torized-batch-norm Fix loop boundaries in vectorized batch normalization

runtime image resize implementation

Fix overflowError: Python int too large to convert to C long

Improve performance by utilizing cache locality

[Semantic Segmentation] Add CamVid fixture dataset and Documentation

…odel Output GPU Inference Model Template

* Implement SimpleDatasetReader which is read batch size data from Dataset object simply (not using thread and multiprocess) when DatasetIterator is not enable_prefetch.

* [Semantic Segmentation] Add CamvidCustom dataset class. * Enable to use Ignore class * Add General Purpose Color Palette * Add ger_color_map function

* Add Interface for Blueoil * Add semantic segmentation setting for blueoil_test.sh

Add Semantic Segmentation Tutorial

…lue-oil#201) * Add backwards compatibility for output template model run script * Check if -l was used then prompt deprecated message

…e-oil#204)

* Remove confusing config * Create Makefile to make initializing easier * Wrap all test tasks by Makefile * Fix unreadable connfigs around docker

* Implement bilinear upsampling as post process * Fix pep8 * Remove debug comment * Remove redundant condition

) * implement densenet block and conv_bn_act block * Change method name and parameter name and docs.

Fix to delete training only operation from profile. Show image size and number of classes in profile markdown. Prompt output file path in the end. Change Flops to FLOPs literally.

* add leaky_relu for upgrading to tf 1.13.1 * add leaky_relu for upgrading to tf 1.13.1 * separate leaky_relu from relu and add full impl * remove unused test files * update comment lines * fix variable name and comments * correct copyright year for newly added file

pyplot pulls in a large set of dependencies (such as tkinter) that lmnet doesn't need.

* Implement packed data type * Remove MemoryFormat * Add attribute packed * Implement BitCount * Use QUANTIZED_PACKED::BitCount * Implement operator~ and pop_count for QuantizedPacked * Implement operator|= for QuantizedPacked * Use operator|= * Cast kernel from T_UINT to QUANTIZED_PACKED * Remove unused method * Implement Raw * Use Raw * Cast to QUANTIZED_PACKED * Add popcount implement files * Update CMakeLists.txt

* create lmnet config with tempfile Previously, generate_lmnet_config creates a config file under cwd, which is not always writable. * remove print

To support writing results to "gs://" Ref blue-oil#220

…st & debug (blue-oil#184) * Export npy and add FUNC_TIME_MEASUREMENT macro for debug elf in convert command * Change directory name to inference_test_data in export.py. Add default image for generate

* Implement LMBiSeNet * Add comment * Fix pep8 * 2018 -> 2019

* Define Packed classes * Use PackedUint32 * Convert array to QuantizedPacked array * Use Uint32 as default * Fix for kernel * Bump C++ version to C++14 * Generalize about cv qualifiers * Introduce QUANTIZED_PACKED_KERNEL * Fix template * Fix test * Remove unused type except PackedUint64 * Use static for global variable * Make easier to read * Remove PackedUint8

…directory path (blue-oil#227) * export.py run() return exported directory path * export.py run() return exported directory path * Delete get_export_directory() from blueoil/cli.py

* Optimize Bilinear postprocess * Add space to operation

* Update tensorflow and cuda version of docs * Update OpenCV Version

* Max pool interface added * maxpooling fixed * T_INT type changed to QUANTIZED_NOT_PACKED and preserve_quantization true for MaxPool * change request fixed

* Compatible python 2 on post_process.py * Add lmnet.visualize module * Refactoring usb camera demo and utils/demo.py * Add motion jpeg server for demo

* add new file for ray tune * add config file for ray tune * add optuna-based hp optimization contributed by @djKooks * improve print for more trial detail * casual clean-up on tune_optuna * adapt more hyper-parameters for tuning * add search for weight decay rate parameter * make optimizer tunable * reloading the config file every time new trial start * clear kwargs before assigning new ones * add perimagestandardization to tune config file * add search option for lr scheduler of polynomial decay * move tune_spec to config file * remove redundant imports * add dynamic allocation of resources * fix incompatible problem of easydict * make compatible with data iterator * auto detect number of gpus to train * test lmnet_v1_quantize_cifar10 * add options for saving directory * saving directory defaults to ~/ray_results * add config file for tuning segmentation * add optional id for different tuning sessions * oops, no weight decay parameter for lm_segnet * remove redundant lines * remove more redundant lines * test various values in config file * update package requirement for ray * separate core scripts and config files * remove un-used imports * remove optuna implementation * quick update comments * update copyright year * add some comments * Rename trial to shorter string

…l#258)

* Add try catch to ensure queue import compatibility * fix queue to Queue typo * use from instead of direct import

* add build dependency to pep8-dlk * fix to follow pep8

* create automated_testing dir on FPGA for dlk test * change to use default python(2.7.12) on FPGA for dlk test * remove Type Hints for python 2.7 * enable to set fpga host by environment variables * add FPGA_HOST from environment variable * add StrictHostKeyChecking option instead of ssh configuration via volume mount of /root/.ssh * fix mount.err to mount.out * remove comment 'only available on Jenkins' * enable to connect to FPGA by user's ssh config and keys * fix 'Bad owner or permissions on /root/.ssh/config'

* Update docs for CUDA10 * fix > to >=

…s possible even if the source code is changed. (blue-oil#273)

* allow dataset prefetch only for training * remove to-do flag * add comments

Commits on Mar 15, 2019

update version 0.4.0 (blue-oil#196 )

ruimashita authored Mar 15, 2019

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Commits on May 7, 2019

Update Pillow (blue-oil#255 )

iizukak authored May 7, 2019

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Commits on May 20, 2019

limit the training iteration

nlpng committed May 20, 2019

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Commits on Jul 30, 2019

limit the training iteration

nlpng committed Jul 30, 2019

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[WIP] Add the config file of parameter tuner for object detection #275

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[WIP] Add the config file of parameter tuner for object detection #275

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