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This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

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I just observed that the difference of mAP when I set "use_diff" . If i set it as True, I get a mAP of 0.69 and get 0.77 when set...

I just observed that the difference of mAP when I set "use_diff" . If i set it as True, I get a mAP of 0.69 and get 0.77 when set...

--eval_imgs=? --annotation_dir=? How should this path be written? I tried various forms and failed

使用mobilenet进行训练是否只需设置 NET_NAME = 'MobilenetV2' #'MobilenetV2' 预训练模型我也下载了 我尝试了训练但是一直得不到结果,没有报错但是画不出框,mAP也一直就0.08的样子,但是看score_greater_05的图好像也没啥问题

When training, I encountered a problem: Invalid argument:Incompatible shapes:[1,1024,57,38] vs. [1,1024,29,19] who can help me

RPN's max proposal is 2000 when train with resnet. But the resnet paper use 300 proposals. Does this setting matters?

hi,excuse me, I encountered the following problems while training the network, may I ask for some assistants? Traceback (most recent call last): File "/home/vivian/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1323, in _do_call return fn(*args)...

Hello, I'm trying to decrease the amount of ram used on the gpu for inference. i've used the supplied cfgs.py that uses resnet101, it uses up about 6G during training,...

with tf.control_dependencies([rpn_labels]): with tf.variable_scope('sample_RCNN_minibatch'): rois, labels, bbox_targets = \ tf.py_func(proposal_target_layer, [rois, gtboxes_batch], [tf.float32, tf.float32, tf.float32]) rois = tf.reshape(rois, [-1, 4]) labels = tf.to_int32(labels) labels = tf.reshape(labels, [-1]) bbox_targets = tf.reshape(bbox_targets,...