Windows平台YOLO v3目标检测实战

基于TensorFlow框架的YOLO v3模型,在Windows系统环境下完整运行,包含训练和测试代码示例,轻松上手,快速搭建目标检测应用。

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Windows系统下tensorflow版本的YOLO v3 预估大小:726个文件
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kmeans.jpg 63KB
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.gitignore 350B
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yolov3.py 18KB
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timer.py 950B
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utils.py 18KB
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dataset.cpython-36.pyc 7KB
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timer.cpython-36.pyc 906B
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__init__.cpython-35.pyc 125B
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dataset.cpython-35.pyc 6KB
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yolo_v3.cpython-35.pyc 7KB
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common.cpython-36.pyc 1KB
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common.cpython-35.pyc 1KB
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yolov3.cpython-35.pyc 11KB
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utils.cpython-36.pyc 12KB
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utils.cpython-35.pyc 13KB
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config.cpython-35.pyc 1KB
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yolov3.cpython-36.pyc 10KB
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dataset.py 12KB
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common.py 2KB
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convert_tfrecord.py 2KB
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nms_demo.py 3KB
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show_input_image.py 2KB
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SIL Open Font License.txt 4KB
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FiraMono-Medium.otf 124KB
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scratches.names 9B
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test.txt 7KB
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voc_anchors.txt 339B
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coco.names 625B
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train.tfrecords 2.1MB
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scratches_80.xml 476B
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scratches_206.xml 706B
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scratches_228.xml 934B
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scratches_25.xml 702B
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train.txt 27KB
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scratches_anchors.txt 102B
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test.tfrecords 543KB
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events.out.tfevents.1553776854.LENOVO 896B
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events.out.tfevents.1553329055.LENOVO 100KB
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events.out.tfevents.1553495617.LENOVO 100KB
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txt.py 1KB
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scratches_1.jpg 7KB
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boxes.txt 318B
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demo_data.rar 38KB
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scratches_104.jpg 11KB
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dog.jpg 160KB
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611.jpg 190KB
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car.jpg 118KB
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road.jpeg 150KB
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scratches_165.jpg 9KB
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scratches_90.jpg 9KB
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scratches_31.jpg 8KB
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scratches_216.jpg 11KB
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scratches_50.jpg 9KB
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scratches_165.jpg 179KB
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scratches_50.jpg 170KB
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scratches_227.jpg 168KB
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scratches_289.jpg 167KB
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scratches_147.jpg 176KB
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scratches_104.jpg 197KB
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scratches_165.jpg 179KB
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scratches_90.jpg 172KB
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scratches_90.jpg 163KB
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scratches_216.jpg 214KB
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scratches_50.jpg 174KB
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scratches_227.jpg 174KB
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scratches_289.jpg 182KB
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scratches_147.jpg 181KB
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scratches_16.jpg 166KB
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scratches_227.jpg 177KB
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dog.jpg 78KB
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scratches_289.jpg 180KB
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scratches_147.jpg 174KB
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611.jpg 114KB
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car.jpg 99KB
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road.mp4 782KB
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road.jpeg 194KB
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events.out.tfevents.1553495629.LENOVO 100KB
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events.out.tfevents.1553329065.LENOVO 99KB
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events.out.tfevents.1553776866.LENOVO 896B
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convert_weight.py 5KB
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LICENSE 1KB
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kmeans.py 5KB
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extract_voc.py 2KB
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make_rbc_tfrecords.sh 883B
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make_voc_tfrecords.sh 863B
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make_raccoon_tfrecords.sh 473B
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extract_coco.py 3KB
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练习.py 262B
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README.md 9KB
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video_demo.py 2KB
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quick_test.py 1KB
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evaluate.py 6KB
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quick_train.py 6KB
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Box-Clustering.ipynb 1.02MB
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raccoon1.jpg 51KB
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probability_extraction.png 151KB
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yolov3.png 270KB
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611_result.jpg 124KB
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levio.jpeg 43KB
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K-means.png 353KB
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darknet53.png 50KB
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raccoon2.jpg 59KB
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iou.png 743KB
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requirements.txt 89B
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zip 文件大小:15.2MB