就是两个预训练模型，分别是ResNet-50的和ResNet-101的预训练模型。直接下载解压就行了。对了，是原版的RFCN哦，就是Caffe+Python的，不是tensorflow的model。
2019-12-21 19:49:18
293.59MB
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Tiny-yolo 预训练模型darknet.conv.weights做初始化，进行后期精调
2019-12-21 19:36:36
22.33MB
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TensorFlow VGG-16 预训练模型，用于SSD-TensorFlow的Demo训练.
2019-12-21 19:31:55
489.54MB
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You only look once (YOLO) is a state-of-the-art, real-time object detection system. On a Pascal Titan X it processes images at 30 FPS and has a mAP of 57.9% on COCO test-dev
2019-12-21 19:18:00
33.79MB
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TensorFlow训练mask_rcnn模型，生成pb文件后转成pbtxt文件，opencv4.0.1调用
2019-12-21 18:58:45
5KB
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vgg_imagenet.npy
vggnet_fast_rcnn_iter_7000.ckpt
因为github指示地址需要，我保存在百度网盘上的
2019-12-21 18:58:12
191B
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inception_resnet_v2_2016_08_30 预训练模型, imagenet
2019-12-21 18:49:18
209.43MB
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