mobilenet 与darknet yolo
License: Other
Implement the paper:MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications based on darknet framework
1、git clone https://github.com/hjimce/darknet_mobilenet.git
2、open Makefile ,set GPU=1 、CUDNN=1 and make compile
3、network example:cfg/mobilenet_imagenet.cfg
4、main implement :depthwise_convolutional_kernels.cu depthwise_convolutional_layer.c depthwise_convolutional_layer.h
I get this error when compiling on macOS 10.12
[loretoparisi@:mbploreto darknet_mobilenet]$ make
mkdir -p obj
mkdir -p backup
mkdir -p results
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/gemm.c -o obj/gemm.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/utils.c -o obj/utils.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/cuda.c -o obj/cuda.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/deconvolutional_layer.c -o obj/deconvolutional_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/depthwise_convolutional_layer.c -o obj/depthwise_convolutional_layer.o
./src/depthwise_convolutional_layer.c:347:10: warning: unused variable 'orig' [-Wunused-variable]
network orig = net;
^
./src/depthwise_convolutional_layer.c:410:9: warning: unused variable 'i' [-Wunused-variable]
int i;
^
./src/depthwise_convolutional_layer.c:474:9: warning: unused variable 'i' [-Wunused-variable]
int i;
^
3 warnings generated.
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/convolutional_layer.c -o obj/convolutional_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/list.c -o obj/list.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/image.c -o obj/image.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/activations.c -o obj/activations.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/im2col.c -o obj/im2col.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/col2im.c -o obj/col2im.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/blas.c -o obj/blas.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/crop_layer.c -o obj/crop_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/dropout_layer.c -o obj/dropout_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/maxpool_layer.c -o obj/maxpool_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/softmax_layer.c -o obj/softmax_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/data.c -o obj/data.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/matrix.c -o obj/matrix.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/network.c -o obj/network.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/connected_layer.c -o obj/connected_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/cost_layer.c -o obj/cost_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/parser.c -o obj/parser.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/option_list.c -o obj/option_list.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/detection_layer.c -o obj/detection_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/route_layer.c -o obj/route_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/box.c -o obj/box.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/normalization_layer.c -o obj/normalization_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/avgpool_layer.c -o obj/avgpool_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/layer.c -o obj/layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/local_layer.c -o obj/local_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/shortcut_layer.c -o obj/shortcut_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/activation_layer.c -o obj/activation_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/rnn_layer.c -o obj/rnn_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/gru_layer.c -o obj/gru_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/crnn_layer.c -o obj/crnn_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/demo.c -o obj/demo.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/batchnorm_layer.c -o obj/batchnorm_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/region_layer.c -o obj/region_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/reorg_layer.c -o obj/reorg_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/tree.c -o obj/tree.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/lstm_layer.c -o obj/lstm_layer.o
gcc -Wall -Wfatal-errors -fPIC -Ofast -shared obj/gemm.o obj/utils.o obj/cuda.o obj/deconvolutional_layer.o obj/depthwise_convolutional_layer.o obj/convolutional_layer.o obj/list.o obj/image.o obj/activations.o obj/im2col.o obj/col2im.o obj/blas.o obj/crop_layer.o obj/dropout_layer.o obj/maxpool_layer.o obj/softmax_layer.o obj/data.o obj/matrix.o obj/network.o obj/connected_layer.o obj/cost_layer.o obj/parser.o obj/option_list.o obj/detection_layer.o obj/route_layer.o obj/box.o obj/normalization_layer.o obj/avgpool_layer.o obj/layer.o obj/local_layer.o obj/shortcut_layer.o obj/activation_layer.o obj/rnn_layer.o obj/gru_layer.o obj/crnn_layer.o obj/demo.o obj/batchnorm_layer.o obj/region_layer.o obj/reorg_layer.o obj/tree.o obj/lstm_layer.o -o libdarknet.so -lm -pthread
clang: warning: argument unused during compilation: '-pthread' [-Wunused-command-line-argument]
ar rcs libdarknet.a obj/gemm.o obj/utils.o obj/cuda.o obj/deconvolutional_layer.o obj/depthwise_convolutional_layer.o obj/convolutional_layer.o obj/list.o obj/image.o obj/activations.o obj/im2col.o obj/col2im.o obj/blas.o obj/crop_layer.o obj/dropout_layer.o obj/maxpool_layer.o obj/softmax_layer.o obj/data.o obj/matrix.o obj/network.o obj/connected_layer.o obj/cost_layer.o obj/parser.o obj/option_list.o obj/detection_layer.o obj/route_layer.o obj/box.o obj/normalization_layer.o obj/avgpool_layer.o obj/layer.o obj/local_layer.o obj/shortcut_layer.o obj/activation_layer.o obj/rnn_layer.o obj/gru_layer.o obj/crnn_layer.o obj/demo.o obj/batchnorm_layer.o obj/region_layer.o obj/reorg_layer.o obj/tree.o obj/lstm_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/captcha.c -o obj/captcha.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/lsd.c -o obj/lsd.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/super.c -o obj/super.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/voxel.c -o obj/voxel.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/art.c -o obj/art.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/tag.c -o obj/tag.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/cifar.c -o obj/cifar.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/go.c -o obj/go.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/rnn.c -o obj/rnn.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/rnn_vid.c -o obj/rnn_vid.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/compare.c -o obj/compare.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/segmenter.c -o obj/segmenter.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/regressor.c -o obj/regressor.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/classifier.c -o obj/classifier.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/coco.c -o obj/coco.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/dice.c -o obj/dice.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/yolo.c -o obj/yolo.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/detector.c -o obj/detector.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/writing.c -o obj/writing.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/nightmare.c -o obj/nightmare.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/swag.c -o obj/swag.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./examples/darknet.c -o obj/darknet.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast obj/captcha.o obj/lsd.o obj/super.o obj/voxel.o obj/art.o obj/tag.o obj/cifar.o obj/go.o obj/rnn.o obj/rnn_vid.o obj/compare.o obj/segmenter.o obj/regressor.o obj/classifier.o obj/coco.o obj/dice.o obj/yolo.o obj/detector.o obj/writing.o obj/nightmare.o obj/swag.o obj/darknet.o libdarknet.a -o darknet -lm -pthread libdarknet.a
clang: warning: argument unused during compilation: '-pthread' [-Wunused-command-line-argument]
ld: warning: ignoring file libdarknet.a, file was built for archive which is not the architecture being linked (x86_64): libdarknet.a
Undefined symbols for architecture x86_64:
"_axpy_cpu", referenced from:
_test_cifar_multi in cifar.o
_predict_move in go.o
_validate_classifier_10 in classifier.o
_validate_classifier_multi in classifier.o
_optimize_picture in nightmare.o
_reconstruct_picture in nightmare.o
_average in darknet.o
...
"_backward_network", referenced from:
_optimize_picture in nightmare.o
_reconstruct_picture in nightmare.o
"_basecfg", referenced from:
_train_captcha in captcha.o
_train_super in super.o
_train_voxel in voxel.o
_train_tag in tag.o
_train_cifar in cifar.o
_train_cifar_distill in cifar.o
_train_go in go.o
...
"_box_iou", referenced from:
_validate_coco_recall in coco.o
_validate_yolo_recall in yolo.o
_validate_detector_recall in detector.o
"_change_leaves", referenced from:
_validate_classifier_single in classifier.o
"_composite_3d", referenced from:
_main in darknet.o
"_constrain_image", referenced from:
_test_lsd in lsd.o
_optimize_picture in nightmare.o
_reconstruct_picture in nightmare.o
"_copy_cpu", referenced from:
_predict_move in go.o
_train_char_rnn in rnn.o
_validate_detector_flip in detector.o
_optimize_picture in nightmare.o
_oneoff in darknet.o
"_copy_image", referenced from:
_run_nightmare in nightmare.o
_mkimg in darknet.o
"_crop_image", referenced from:
_test_lsd in lsd.o
_validate_classifier_10 in classifier.o
_validate_classifier_single in classifier.o
_try_classifier in classifier.o
_label_classifier in classifier.o
_optimize_picture in nightmare.o
_run_nightmare in nightmare.o
...
"_csv_to_matrix", referenced from:
_train_cifar_distill in cifar.o
_eval_cifar_csv in cifar.o
_run_cifar in cifar.o
"_demo", referenced from:
_run_coco in coco.o
_run_yolo in yolo.o
_run_detector in detector.o
(maybe you meant: _demo_classifier, _demo_regressor , _demo_art , _demo_segmenter )
"_denormalize_connected_layer", referenced from:
_reset_normalize_net in darknet.o
_denormalize_net in darknet.o
"_denormalize_convolutional_layer", referenced from:
_reset_normalize_net in darknet.o
_denormalize_net in darknet.o
"_denormalize_depthwise_convolutional_layer", referenced from:
_reset_normalize_net in darknet.o
_denormalize_net in darknet.o
"_do_nms", referenced from:
_validate_detector_recall in detector.o
"_do_nms_obj", referenced from:
_test_detector in detector.o
"_do_nms_sort", referenced from:
_validate_coco in coco.o
_test_coco in coco.o
_validate_yolo in yolo.o
_test_yolo in yolo.o
_validate_detector_flip in detector.o
_validate_detector in detector.o
"_draw_detections", referenced from:
_test_coco in coco.o
_test_yolo in yolo.o
_test_detector in detector.o
"_error", referenced from:
_get_rnn_token_data in rnn.o
_get_rnn_data in rnn.o
_valid_tactic_rnn in rnn.o
_valid_char_rnn in rnn.o
"_fgetl", referenced from:
_engine_go in go.o
_test_go in go.o
_score_game in go.o
_read_tokens in rnn.o
_vec_char_rnn in rnn.o
"_fill_image", referenced from:
_mkimg in darknet.o
"_find_arg", referenced from:
_run_lsd in lsd.o
_run_super in super.o
_run_tag in tag.o
_run_go in go.o
_run_char_rnn in rnn.o
_run_segmenter in segmenter.o
_run_regressor in regressor.o
...
"_find_char_arg", referenced from:
_run_lsd in lsd.o
_run_go in go.o
_run_char_rnn in rnn.o
_run_segmenter in segmenter.o
_run_regressor in regressor.o
_run_classifier in classifier.o
_run_coco in coco.o
...
"_find_float_arg", referenced from:
_run_char_rnn in rnn.o
_run_coco in coco.o
_run_yolo in yolo.o
_run_detector in detector.o
_run_nightmare in nightmare.o
_main in darknet.o
"_find_int_arg", referenced from:
_run_art in art.o
_run_char_rnn in rnn.o
_run_segmenter in segmenter.o
_run_regressor in regressor.o
_run_classifier in classifier.o
_run_coco in coco.o
_run_yolo in yolo.o
...
"_find_replace", referenced from:
_validate_coco_recall in coco.o
_validate_yolo_recall in yolo.o
_validate_detector_recall in detector.o
"_flip_image", referenced from:
_test_cifar_multi in cifar.o
_test_cifar_csv in cifar.o
_test_cifar_csvtrain in cifar.o
_random_go_moves in go.o
_predict_move in go.o
_validate_classifier_10 in classifier.o
_validate_classifier_multi in classifier.o
...
"_float_to_image", referenced from:
_test_cifar_multi in cifar.o
_extract_cifar in cifar.o
_test_cifar_csv in cifar.o
_test_cifar_csvtrain in cifar.o
_random_go_moves in go.o
_predict_move in go.o
_train_segmenter in segmenter.o
...
"_forward_network", referenced from:
_optimize_picture in nightmare.o
_reconstruct_picture in nightmare.o
"_free_data", referenced from:
_train_captcha in captcha.o
_train_super in super.o
_train_voxel in voxel.o
_train_tag in tag.o
_train_cifar in cifar.o
_train_cifar_distill in cifar.o
_test_cifar in cifar.o
...
"_free_image", referenced from:
_test_captcha in captcha.o
_valid_captcha in captcha.o
_test_dcgan in lsd.o
_test_lsd in lsd.o
_test_super in super.o
_test_voxel in voxel.o
_test_tag in tag.o
...
"_free_list", referenced from:
_train_tag in tag.o
_validate_compare in compare.o
_SortMaster3000 in compare.o
_BattleRoyaleWithCheese in compare.o
_train_segmenter in segmenter.o
_train_regressor in regressor.o
_train_classifier in classifier.o
...
"_free_matrix", referenced from:
_eval_cifar_csv in cifar.o
_run_cifar in cifar.o
_validate_compare in compare.o
_test_classifier in classifier.o
"_free_network", referenced from:
_train_tag in tag.o
_train_cifar in cifar.o
_train_cifar_distill in cifar.o
_train_go in go.o
_train_segmenter in segmenter.o
_train_regressor in regressor.o
_train_classifier in classifier.o
...
"_free_ptrs", referenced from:
_train_tag in tag.o
_train_cifar in cifar.o
_train_cifar_distill in cifar.o
_train_segmenter in segmenter.o
_train_regressor in regressor.o
_train_classifier in classifier.o
_test_detector in detector.o
...
"_get_current_batch", referenced from:
_train_super in super.o
_train_voxel in voxel.o
_train_tag in tag.o
_train_cifar in cifar.o
_train_cifar_distill in cifar.o
_train_go in go.o
_train_char_rnn in rnn.o
...
"_get_current_rate", referenced from:
_train_super in super.o
_train_voxel in voxel.o
_train_tag in tag.o
_train_cifar in cifar.o
_train_cifar_distill in cifar.o
_train_go in go.o
_train_char_rnn in rnn.o
...
"_get_detection_boxes", referenced from:
_validate_coco in coco.o
_validate_coco_recall in coco.o
_test_coco in coco.o
_validate_yolo in yolo.o
_validate_yolo_recall in yolo.o
_test_yolo in yolo.o
"_get_labels", referenced from:
_train_captcha in captcha.o
_test_captcha in captcha.o
_valid_captcha in captcha.o
_test_tag in tag.o
_train_cifar in cifar.o
_train_cifar_distill in cifar.o
_train_classifier in classifier.o
...
"_get_network_image", referenced from:
_test_super in super.o
_test_voxel in voxel.o
_train_segmenter in segmenter.o
_predict_segmenter in segmenter.o
_train_writing in writing.o
_test_writing in writing.o
_run_nightmare in nightmare.o
...
"_get_network_image_layer", referenced from:
_test_dcgan in lsd.o
_test_lsd in lsd.o
"_get_paths", referenced from:
_train_captcha in captcha.o
_valid_captcha in captcha.o
_train_super in super.o
_train_voxel in voxel.o
_train_tag in tag.o
_train_compare in compare.o
_validate_compare in compare.o
...
"_get_region_boxes", referenced from:
_validate_detector_flip in detector.o
_validate_detector in detector.o
_validate_detector_recall in detector.o
_test_detector in detector.o
"_get_weights", referenced from:
_mkimg in darknet.o
"_ghost_image", referenced from:
_mkimg in darknet.o
"_gpu_index", referenced from:
_run_classifier in classifier.o
_average in darknet.o
_operations in darknet.o
_oneoff in darknet.o
_oneoff2 in darknet.o
_partial in darknet.o
_rescale_net in darknet.o
...
"_grayscale_image_3c", referenced from:
_test_lsd in lsd.o
"_hierarchy_predictions", referenced from:
_validate_classifier_10 in classifier.o
_validate_classifier_full in classifier.o
_validate_classifier_single in classifier.o
_validate_classifier_multi in classifier.o
_predict_classifier in classifier.o
"_letterbox_image", referenced from:
_predict_segmenter in segmenter.o
_predict_regressor in regressor.o
_test_detector in detector.o
_run_nightmare in nightmare.o
"_list_to_array", referenced from:
_train_captcha in captcha.o
_valid_captcha in captcha.o
_train_super in super.o
_train_voxel in voxel.o
_train_tag in tag.o
_train_compare in compare.o
_validate_compare in compare.o
...
"_load_all_cifar10", referenced from:
_train_cifar in cifar.o
_train_cifar_distill in cifar.o
_extract_cifar in cifar.o
_test_cifar_csvtrain in cifar.o
"_load_alphabet", referenced from:
_test_coco in coco.o
_test_yolo in yolo.o
_test_detector in detector.o
"_load_cifar10_data", referenced from:
_test_cifar_multi in cifar.o
_test_cifar in cifar.o
_extract_cifar in cifar.o
_test_cifar_csv in cifar.o
_eval_cifar_csv in cifar.o
_run_cifar in cifar.o
"_load_data", referenced from:
_train_segmenter in segmenter.o
_train_regressor in regressor.o
_train_classifier in classifier.o
_train_detector in detector.o
"_load_data_in_thread", referenced from:
_train_captcha in captcha.o
_train_super in super.o
_train_voxel in voxel.o
_train_tag in tag.o
_train_compare in compare.o
_validate_compare in compare.o
_validate_classifier_crop in classifier.o
...
"_load_data_old", referenced from:
_train_dice in dice.o
_validate_dice in dice.o
"_load_image_color", referenced from:
_test_captcha in captcha.o
_valid_captcha in captcha.o
_test_lsd in lsd.o
_test_super in super.o
_test_voxel in voxel.o
_test_tag in tag.o
_bbox_comparator in compare.o
...
"_load_network", referenced from:
_train_go in go.o
_train_classifier in classifier.o
_train_detector in detector.o
_mkimg in darknet.o
"_load_weights", referenced from:
_train_captcha in captcha.o
_test_captcha in captcha.o
_valid_captcha in captcha.o
_test_dcgan in lsd.o
_test_lsd in lsd.o
_train_super in super.o
_test_super in super.o
...
"_load_weights_upto", referenced from:
_oneoff2 in darknet.o
_partial in darknet.o
_main in darknet.o
"_mag_array", referenced from:
_reconstruct_picture in nightmare.o
"_make_image", referenced from:
_test_dcgan in lsd.o
_validate_detector_flip in detector.o
_optimize_picture in nightmare.o
_reconstruct_picture in nightmare.o
_run_nightmare in nightmare.o
_speed in darknet.o
_mkimg in darknet.o
...
"_make_matrix", referenced from:
_random_go_moves in go.o
"_mask_to_rgb", referenced from:
_train_segmenter in segmenter.o
_predict_segmenter in segmenter.o
"_matrix_add_matrix", referenced from:
_train_cifar_distill in cifar.o
_test_cifar_csv in cifar.o
_test_cifar_csvtrain in cifar.o
"_matrix_to_csv", referenced from:
_test_cifar_csv in cifar.o
_test_cifar_csvtrain in cifar.o
"_matrix_topk_accuracy", referenced from:
_test_cifar_csv in cifar.o
_test_cifar_csvtrain in cifar.o
_eval_cifar_csv in cifar.o
_run_cifar in cifar.o
"_max_index", referenced from:
_test_cifar_multi in cifar.o
_extract_cifar in cifar.o
_generate_move in go.o
_valid_go in go.o
_label_classifier in classifier.o
"_mean_array", referenced from:
_calculate_loss in nightmare.o
_optimize_picture in nightmare.o
"_network_accuracies", referenced from:
_test_cifar in cifar.o
_validate_classifier_crop in classifier.o
_validate_dice in dice.o
"_network_predict", referenced from:
_test_captcha in captcha.o
_valid_captcha in captcha.o
_test_dcgan in lsd.o
_test_lsd in lsd.o
_test_super in super.o
_test_voxel in voxel.o
_test_tag in tag.o
...
"_network_predict_data", referenced from:
_test_cifar_csv in cifar.o
_test_cifar_csvtrain in cifar.o
_validate_compare in compare.o
_test_classifier in classifier.o
"_normalize_array", referenced from:
_optimize_picture in nightmare.o
"_normalize_cpu", referenced from:
_try_classifier in classifier.o
"_normalize_image", referenced from:
_test_dcgan in lsd.o
"_option_find_int", referenced from:
_train_classifier in classifier.o
_validate_classifier_crop in classifier.o
_validate_classifier_10 in classifier.o
_validate_classifier_full in classifier.o
_validate_classifier_single in classifier.o
_validate_classifier_multi in classifier.o
_try_classifier in classifier.o
...
"_option_find_str", referenced from:
_train_segmenter in segmenter.o
_train_regressor in regressor.o
_train_classifier in classifier.o
_validate_classifier_crop in classifier.o
_validate_classifier_10 in classifier.o
_validate_classifier_full in classifier.o
_validate_classifier_single in classifier.o
...
"_parse_network_cfg", referenced from:
_train_captcha in captcha.o
_test_captcha in captcha.o
_valid_captcha in captcha.o
_test_dcgan in lsd.o
_test_lsd in lsd.o
_train_super in super.o
_test_super in super.o
...
"_rand_normal", referenced from:
_test_dcgan in lsd.o
"_rand_size_t", referenced from:
_train_char_rnn in rnn.o
"_random_distort_image", referenced from:
_mkimg in darknet.o
"_read_boxes", referenced from:
_validate_coco_recall in coco.o
_validate_yolo_recall in yolo.o
_validate_detector_recall in detector.o
"_read_data_cfg", referenced from:
_train_segmenter in segmenter.o
_train_regressor in regressor.o
_train_classifier in classifier.o
_validate_classifier_crop in classifier.o
_validate_classifier_10 in classifier.o
_validate_classifier_full in classifier.o
_validate_classifier_single in classifier.o
...
"_read_intlist", referenced from:
_run_classifier in classifier.o
"_read_map", referenced from:
_validate_detector_flip in detector.o
_validate_detector in detector.o
"_rescale_weights", referenced from:
_rescale_net in darknet.o
_main in darknet.o
"_resize_image", referenced from:
_validate_coco_recall in coco.o
_test_coco in coco.o
_validate_yolo_recall in yolo.o
_test_yolo in yolo.o
_validate_detector_recall in detector.o
_test_writing in writing.o
_optimize_picture in nightmare.o
...
"_resize_min", referenced from:
_test_lsd in lsd.o
_test_tag in tag.o
_validate_classifier_full in classifier.o
_validate_classifier_single in classifier.o
_validate_classifier_multi in classifier.o
_try_classifier in classifier.o
_predict_classifier in classifier.o
...
"_resize_network", referenced from:
_test_super in super.o
_test_voxel in voxel.o
_test_tag in tag.o
_validate_classifier_full in classifier.o
_validate_classifier_multi in classifier.o
_predict_classifier in classifier.o
_train_detector in detector.o
...
"_rgbgr_weights", referenced from:
_rgbgr_net in darknet.o
_main in darknet.o
"_rotate_image", referenced from:
_run_nightmare in nightmare.o
"_rotate_image_cw", referenced from:
_random_go_moves in go.o
_predict_move in go.o
_mkimg in darknet.o
"_sample_array", referenced from:
_generate_move in go.o
_test_char_rnn in rnn.o
_test_tactic_rnn in rnn.o
"_save_image", referenced from:
_test_dcgan in lsd.o
_test_lsd in lsd.o
_test_super in super.o
_test_voxel in voxel.o
_test_coco in coco.o
_test_yolo in yolo.o
_test_detector in detector.o
...
"_save_image_png", referenced from:
_extract_cifar in cifar.o
"_save_weights", referenced from:
_train_captcha in captcha.o
_train_super in super.o
_train_voxel in voxel.o
_train_tag in tag.o
_train_cifar in cifar.o
_train_cifar_distill in cifar.o
_train_go in go.o
...
"_save_weights_upto", referenced from:
_oneoff2 in darknet.o
_partial in darknet.o
_main in darknet.o
"_scal_cpu", referenced from:
_predict_move in go.o
_reconstruct_picture in nightmare.o
_average in darknet.o
_oneoff in darknet.o
"_scale_matrix", referenced from:
_train_cifar_distill in cifar.o
_test_cifar_csv in cifar.o
_test_cifar_csvtrain in cifar.o
"_sec", referenced from:
_train_captcha in captcha.o
_test_dcgan in lsd.o
_test_lsd in lsd.o
_train_super in super.o
_test_super in super.o
_train_voxel in voxel.o
_test_voxel in voxel.o
...
"_set_batch_network", referenced from:
_test_captcha in captcha.o
_valid_captcha in captcha.o
_test_dcgan in lsd.o
_test_lsd in lsd.o
_test_super in super.o
_test_voxel in voxel.o
_test_tag in tag.o
...
"_show_image", referenced from:
_test_dcgan in lsd.o
_test_lsd in lsd.o
_train_segmenter in segmenter.o
_predict_segmenter in segmenter.o
_test_coco in coco.o
_test_yolo in yolo.o
_test_writing in writing.o
...
"_shuffle", referenced from:
_BattleRoyaleWithCheese in compare.o
"_sorta_shuffle", referenced from:
_BattleRoyaleWithCheese in compare.o
"_statistics_connected_layer", referenced from:
_statistics_net in darknet.o
"_strip", referenced from:
_vec_char_rnn in rnn.o
"_test_resize", referenced from:
_main in darknet.o
"_threshold_image", referenced from:
_test_writing in writing.o
"_top_k", referenced from:
_generate_move in go.o
_test_go in go.o
_validate_classifier_10 in classifier.o
_validate_classifier_full in classifier.o
_validate_classifier_single in classifier.o
_validate_classifier_multi in classifier.o
_predict_classifier in classifier.o
...
"_top_predictions", referenced from:
_test_captcha in captcha.o
_test_tag in tag.o
_try_classifier in classifier.o
_test_dice in dice.o
"_train_network", referenced from:
_train_captcha in captcha.o
_train_super in super.o
_train_voxel in voxel.o
_train_tag in tag.o
_train_go in go.o
_train_compare in compare.o
_train_segmenter in segmenter.o
...
"_train_network_datum", referenced from:
_train_char_rnn in rnn.o
"_train_network_sgd", referenced from:
_train_cifar in cifar.o
_train_cifar_distill in cifar.o
"_variance_array", referenced from:
_calculate_loss in nightmare.o
_optimize_picture in nightmare.o
"_visualize_network", referenced from:
_visualize in darknet.o
_main in darknet.o
"_zero_objectness", referenced from:
_run_nightmare in nightmare.o
ld: symbol(s) not found for architecture x86_64
clang: fatal error: linker command failed with exit code 1 (use -v to see invocation)
make: *** [darknet] Error 1
NOTE
Since the darknet compiles ok on macOS, will this due to some pre-compiled binary for a different arch settings?
Also I have set
GPU=0
CUDNN=0
OPENCV=0
DEBUG=0
ARCH= -gencode arch=compute_52,code=compute_52
Hi, when I compile I get this error:
./src/depthwise_convolutional_layer.c: In function ‘cudnn_depthwise_convolutional_setup’:
./src/depthwise_convolutional_layer.c:75:5: error: too few arguments to function ‘cudnnSetConvolution2dDescriptor’
cudnnSetConvolution2dDescriptor(l->convDesc, l->pad, l->pad, l->stride, l->
^
Thank you.
@hjimce ， hi, i open the vs2015.sln file, but i can't load, shown as below:
here --> pjreddie/darknet@fbd48ab
I modify the mobilenet_imagenet.cfg as object detection mode,and finished trainning,When I test with this command:
$ ./darknet detector test cfg/voc.data cfg/mobilenet_imagenet.cfg backup/mobilenet_imagenet_10000.weights data/150.jpg
I got this error:
Cannot load image "data/labels/32_0.png"
STB Reason: can't fopen
I don't know where problem is.
在CSDN和github上找到的所有depthwise_convolutional_layer.c、depthwise_convolutional_layer.h、depthwise_convolutional_layer_kernels.cu都是支持darknet的yolov2版本，但和yolov3版本并不兼容，而且在多卡异步训练的时候，network_kernels.cu的好几个函数也要添加depth_convolutional参数相关的更新设置，故请问你有支持darknet yolov3版本的depthwise_convolutional_layer的c、h、cu代码吗？谢谢！
@hjimce it seems that the software is made of yolo_v1+ mobilenet_v1 rather than yolo_v3+ mobilenet_v2?
Hi
i use vs2013 compile the code ,i got many error. can you provide a vs2013 project
and pre-traind model?
thanks
Hi, @hjimce ,thanks to your amazing work.
When I tried to make the darknet_mobilenet, I encountered the following issue:
make: Warning: File 'libdarknet.so' has modification time 28073 s in the future
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/gemm.c -o obj/gemm.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/utils.c -o obj/utils.o
./src/utils.c: In function ‘fgetl’:
./src/utils.c:311:9: warning: ignoring return value of ‘fgets’, declared with attribute warn_unused_result [-Wunused-result]
fgets(&line[curr], readsize, fp);
^
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/cuda.c -o obj/cuda.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/deconvolutional_layer.c -o obj/deconvolutional_layer.o
gcc -Iinclude/ -Isrc/ -Wall -Wfatal-errors -fPIC -Ofast -c ./src/depthwise_convolutional_layer.c -o obj/depthwise_convolutional_layer.o
./src/depthwise_convolutional_layer.c: In function ‘test_depthwise_convolutional_layer’:
./src/depthwise_convolutional_layer.c:325:2: error: ‘for’ loop initial declarations are only allowed in C99 or C11 mode
for (int i = 0; i < net.n; ++i) {
^
compilation terminated due to -Wfatal-errors.
Makefile:82: recipe for target 'obj/depthwise_convolutional_layer.o' failed
make: *** [obj/depthwise_convolutional_layer.o] Error 1
Could you give me some suggestion?
./src/convolutional_layer.c: In function ‘cudnn_convolutional_setup’:
./src/convolutional_layer.c:133:5: error: too few arguments to function ‘cudnnSetConvolution2dDescriptor’
cudnnSetConvolution2dDescriptor(l->convDesc, l->pad, l->pad, l->stride, l->stride, 1, 1, CUDNN_CROSS_CORRELATION);
^
compilation terminated due to -Wfatal-errors.
Makefile:82: recipe for target 'obj/convolutional_layer.o' failed
make: *** [obj/convolutional_layer.o] Error 1
make: *** 正在等待未完成的任务....
./src/depthwise_convolutional_layer.c: In function ‘cudnn_depthwise_convolutional_setup’:
./src/depthwise_convolutional_layer.c:75:5: error: too few arguments to function ‘cudnnSetConvolution2dDescriptor’
cudnnSetConvolution2dDescriptor(l->convDesc, l->pad, l->pad, l->stride, l->stride, 1, 1, CUDNN_CROSS_CORRELATION);
^
compilation terminated due to -Wfatal-errors.
Makefile:82: recipe for target 'obj/depthwise_convolutional_layer.o' failed
make: *** [obj/depthwise_convolutional_layer.o] Error 1
why training is so slow at GTX 1080TI or TitanXp?
Hi:
can you provide a darknet_mobilenet pre-trained model?
thanks
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.