【darknet.exe】CMD

十年一梦实验室

于 2022-05-20 21:24:17 发布

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分类专栏： opencv 深度学习文章标签：目标检测深度学习计算机视觉

本文链接：https://blog.youkuaiyun.com/cxyhjl/article/details/124890688

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这个博客整理了Darknet框架下的一系列命令行操作，包括计算锚点、评估mAP、实时检测、图像分类等任务。涵盖了从VOC数据集到COCO数据集的各种配置，同时也涉及到Tiny-YOLO和YOLOv3等模型的运用，对于理解和应用Darknet进行目标检测和图像分类非常有帮助。

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#calc_anchors.cmd
darknet.exe detector calc_anchors data/voc.data -num_of_clusters 9 -width 416 -height 416
#calc_mAP.cmd
darknet.exe detector map cfg/voc.data cfg/yolov2-voc.cfg yolo-voc.weights -points 11
#calc_mAP_coco.cmd
darknet.exe detector map cfg/coco.data cfg/yolov3-spp.cfg yolov3-spp.weights -points 101
#calc_mAP_voc_py.cmd
darknet.exe detector valid cfg/voc.data cfg/yolov2-voc.cfg yolo-voc.weights
reval_voc_py3.py --year 2007 --classes data\voc.names --image_set test --voc_dir E:\VOC2007_2012\VOCtrainval_11-May-2012\VOCdevkit results
#classifier_densenet201.cmd
darknet.exe classifier predict cfg/imagenet1k.data cfg/densenet201.cfg densenet201.weights
#classifier_resnet50.cmd
darknet.exe classifier predict cfg/imagenet1k.data cfg/resnet50.cfg resnet50.weights
#darknet_coco.cmd
darknet.exe detector test cfg/coco.data cfg/yolov2.cfg yolov2.weights -i 0 -thresh 0.25
#darknet_coco_9000.cmd
darknet.exe detector test cfg/combine9k.data yolo9000.cfg yolo9000.weights data/dog.jpg
#darknet_coco_9000_demo.cmd
darknet.exe detector demo cfg/combine9k.data yolo9000.cfg yolo9000.weights street4k.mp4 -out_filename res.avi
#darknet_demo_coco.cmd
darknet.exe detector demo cfg/coco.data cfg/yolov2.cfg yolov2.weights test.mp4 -i 0 -out_filename res.avi
#darknet_demo_json_stream.cmd
darknet.exe detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights test.mp4 -i 0 -json_port 8070 -ext_output
#darknet_demo_mjpeg_stream.cmd
darknet.exe detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights test.mp4 -i 0 -mjpeg_port 8090 -dont_show -ext_output
#darknet_demo_store.cmd
darknet.exe detector demo cfg/voc.data cfg/yolov2-voc.cfg yolo-voc.weights test.mp4 -i 0 -out_filename res.avi
#darknet_demo_voc.cmd
darknet.exe detector demo cfg/voc.data cfg/yolov2-voc.cfg yolo-voc.weights test.mp4 -i 0
#darknet_demo_voc_param.cmd
darknet.exe detector demo cfg/voc.data cfg/yolov2-voc.cfg yolo-voc.weights %1 -i 0 
#darknet_demo_voc_tiny.cmd
darknet.exe detector demo cfg/voc.data cfg/yolov2-tiny-voc.cfg yolov2-tiny-voc.weights test.mp4 -i 0 
#darknet_json_reslut.cmd
darknet.exe detector test cfg/coco.data cfg/yolov3.cfg yolov3.weights -ext_output -dont_show -out result.json < data/train.txt
#darknet_many_images.cmd
darknet.exe detector test cfg/coco.data cfg/yolov3.cfg yolov3.weights -ext_output -dont_show < data/train.txt > result.txt

#darknet_net_cam_coco.cmd
darknet.exe detector demo cfg/coco.data cfg/yolov2.cfg yolov2.weights http://192.168.0.80:8080/video?dummy=param.mjpg -i 0
#darknet_net_cam_voc.cmd
darknet.exe detector demo cfg/voc.data cfg/yolov2-voc.cfg yolo-voc.weights http://192.168.0.80:8080/video?dummy=param.mjpg -i 0 
#darknet_python.cmd
C:\Users\Alex\AppData\Local\Programs\Python\Python36\python.exe darknet_images.py
#darknet_tiny_v2.cmd
darknet.exe detector test cfg/coco.data cfg/yolov2-tiny.cfg yolov2-tiny.weights -i 0 dog.jpg -thresh 0.51
#darknet_video.cmd
python.exe darknet_video.py --data_file cfg/coco.data --config_file cfg/yolov4.cfg --weights yolov4.weights --input test.mp4

#darknet_voc.cmd
darknet.exe detector test cfg/voc.data cfg/yolov2-voc.cfg yolo-voc.weights -i 0 -thresh 0.24 dog.jpg
#darknet_voc_tiny_v2.cmd
darknet.exe detector test cfg/voc.data cfg/yolov2-tiny-voc.cfg yolov2-tiny-voc.weights -i 0 dog.jpg
#darknet_web_cam_voc.cmd
darknet.exe detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights -c 0
#darknet_yolo_v3.cmd
darknet.exe detector test cfg/coco.data yolov3.cfg yolov3.weights -i 0 -thresh 0.25 dog.jpg -ext_output
#darknet_yolo_v3_openimages.cmd
darknet.exe detector test cfg/openimages.data cfg/yolov3-openimages.cfg yolov3-openimages.weights -i 0 -thresh 0.25 dog.jpg -ext_output
darknet.exe detector demo cfg/openimages.data cfg/yolov3-openimages.cfg yolov3-openimages.weights -i 0 -thresh 0.25 street1k.mp4 -ext_output
#darknet_yolo_v3_video.cmd
darknet.exe detector demo cfg/coco.data yolov3.cfg yolov3.weights -i 0 -thresh 0.25 -ext_output test.mp4
#darknet_yolov3_pseudo_labeling.cmd
darknet.exe detector test data/obj.data yolo-obj.cfg yolo-obj_8000.weights -thresh 0.25 -dont_show -save_labels < images.txt