DACSDC-DeepZ
Proposed solution of team DeepZ for 2018 DAC System Design Contest
File Explorer
- valid.cfg
- darknet.h
- main.py
- procfunc.py
- activation_kernels.cu
- activation_layer.c
- activation_layer.h
- activations.c
- activations.h
- avgpool_layer.c
- avgpool_layer.h
- avgpool_layer_kernels.cu
- batchnorm_layer.c
- batchnorm_layer.h
- blas.c
- blas.h
- blas_kernels.cu
- box.c
- box.h
- classifier.h
- col2im.c
- col2im.h
- col2im_kernels.cu
- compare.c
- connected_layer.c
- connected_layer.h
- convolutional_kernels.cu
- convolutional_layer.c
- convolutional_layer.h
- cost_layer.c
- cost_layer.h
- crnn_layer.c
- crnn_layer.h
- crop_layer.c
- crop_layer.h
- crop_layer_kernels.cu
- cuda.c
- cuda.h
- dac_detection.c
- data.c
- data.h
- deconvolutional_kernels.cu
- deconvolutional_layer.c
- deconvolutional_layer.h
- demo.c
- demo.h
- detection_layer.c
- detection_layer.h
- dropout_layer.c
- dropout_layer.h
- dropout_layer_kernels.cu
- focal_layer.c
- focal_layer.h
- gemm.c
- gemm.h
- gru_layer.c
- gru_layer.h
- im2col.c
- im2col.h
- im2col_kernels.cu
- image.c
- image.h
- l2norm_layer.c
- l2norm_layer.h
- layer.c
- layer.h
- list.c
- list.h
- local_layer.c
- local_layer.h
- logistic_layer.c
- logistic_layer.h
- lstm_layer.c
- lstm_layer.h
- matrix.c
- matrix.h
- maxpool_layer.c
- maxpool_layer.h
- maxpool_layer_kernels.cu
- network.c
- network.h
- normalization_layer.c
- normalization_layer.h
- option_list.c
- option_list.h
- parser.c
- parser.h
- region_layer.c
- region_layer.h
- reorg_layer.c
- reorg_layer.h
- rnn_layer.c
- rnn_layer.h
- route_layer.c
- route_layer.h
- shortcut_layer.c
- shortcut_layer.h
- softmax_layer.c
- softmax_layer.h
- stb_image.h
- stb_image_write.h
- tree.c
- tree.h
- upsample_layer.c
- upsample_layer.h
- utils.c
- utils.h
- yolo_layer.c
- yolo_layer.h
- Makefile
- architecture.png
- train.cfg
- valid.cfg
- train_dataset.txt
- train_dataset_cls.txt
- valid_dataset.txt
- valid_dataset_label.txt
- divide_dataset.py
- divide_dataset_randomly.py
- generate_dataset.py
- art.c
- attention.c
- captcha.c
- cifar.c
- classifier.c
- coco.c
- darknet.c
- detector.c
- dice.c
- go.c
- lsd.c
- nightmare.c
- regressor.c
- rnn.c
- rnn_vid.c
- segmenter.c
- super.c
- swag.c
- tag.c
- voxel.c
- writing.c
- yolo.c
- darknet.h
- train_model.sh
- valid_model.sh
- activation_kernels.cu
- activation_layer.c
- activation_layer.h
- activations.c
- activations.h
- avgpool_layer.c
- avgpool_layer.h
- avgpool_layer_kernels.cu
- batchnorm_layer.c
- batchnorm_layer.h
- blas.c
- blas.h
- blas_kernels.cu
- box.c
- box.h
- classifier.h
- col2im.c
- col2im.h
- col2im_kernels.cu
- compare.c
- connected_layer.c
- connected_layer.h
- convolutional_kernels.cu
- convolutional_layer.c
- convolutional_layer.h
- cost_layer.c
- cost_layer.h
- crnn_layer.c
- crnn_layer.h
- crop_layer.c
- crop_layer.h
- crop_layer_kernels.cu
- cuda.c
- cuda.h
- data.c
- data.h
- deconvolutional_kernels.cu
- deconvolutional_layer.c
- deconvolutional_layer.h
- demo.c
- demo.h
- detection_layer.c
- detection_layer.h
- dropout_layer.c
- dropout_layer.h
- dropout_layer_kernels.cu
- focal_layer.c
- focal_layer.h
- gemm.c
- gemm.h
- gru_layer.c
- gru_layer.h
- im2col.c
- im2col.h
- im2col_kernels.cu
- image.c
- image.h
- l2norm_layer.c
- l2norm_layer.h
- layer.c
- layer.h
- list.c
- list.h
- local_layer.c
- local_layer.h
- logistic_layer.c
- logistic_layer.h
- lstm_layer.c
- lstm_layer.h
- matrix.c
- matrix.h
- maxpool_layer.c
- maxpool_layer.h
- maxpool_layer_kernels.cu
- mix_layer.c
- mix_layer.h
- network.c
- network.h
- normalization_layer.c
- normalization_layer.h
- option_list.c
- option_list.h
- parser.c
- parser.h
- region_layer.c
- region_layer.h
- reorg_layer.c
- reorg_layer.h
- rnn_layer.c
- rnn_layer.h
- route_layer.c
- route_layer.h
- shortcut_layer.c
- shortcut_layer.h
- softmax_layer.c
- softmax_layer.h
- stb_image.h
- stb_image_write.h
- tree.c
- tree.h
- upsample_layer.c
- upsample_layer.h
- utils.c
- utils.h
- yolo_layer.c
- yolo_layer.h
- Makefile
- README.md
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