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114 Open 138 Closed
114 Open 138 Closed
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Issues list

Voc预训练权重的anchor能否给予
#262 opened Jun 6, 2021 by xiaoyao756
how can the reduce the no of layers and start training?
#261 opened Apr 22, 2021 by gokulsoman15
各位 这个yolov3模型 为什么训练的时候测试集的损失函数会一直上升，训练集的损失函数会下降？用自己的和voc数据集都是这样的
#260 opened Mar 8, 2021 by StarStar-666
2
错误
#259 opened Nov 22, 2020 by YSQC
gcn里边的属性是否参与网络的训练？
#258 opened Oct 30, 2020 by Wellsjian
how to train from scratch?
#257 opened Oct 26, 2020 by jackyetz
Optimize TensorFlow-yolov3 weight with TF-TRT
#256 opened Sep 27, 2020 by MuhammadAsadJaved
weights
#255 opened Aug 31, 2020 by cxjaicj
权重
#254 opened Aug 30, 2020 by cxjaicj
权重
#253 opened Aug 30, 2020 by cxjaicj
yolov3 real-time detection speed
#252 opened Aug 28, 2020 by YongYongLi123
Can not get the predicted result
#251 opened Jul 27, 2020 by ganyibo
3
作者你好，想问下你用的coco数据集是哪一个版本的啊
#250 opened Jul 23, 2020 by lander1003
if there is no target in the image.the image can be trained as background?
#249 opened Jul 14, 2020 by henbucuoshanghai
1
How can i get the anchors size of myself image?could you give me a hand?thank you very much
#248 opened Jul 4, 2020 by yehaizi1995
1
Problem when image with size [1920,1080] is used for training but size [416,416] is all right
#247 opened Jun 29, 2020 by LyuYifan
6
Convert ckpt to pb Success, Inference Fails
#245 opened Jun 17, 2020 by github2016-yuan
2
how to train the COCO dataset?
#244 opened Jun 4, 2020 by henbucuoshanghai
1
When testing pictures, sometimes you can get results, sometimes you will report errors
#243 opened May 29, 2020 by tudou1232
What's wrong when train on my own dataset?
#241 opened May 26, 2020 by CloverKids
how to multi scale train using tf.data?
#240 opened May 23, 2020 by fengxiuyaun
分类loss直接softmax不对吧，原文才用的的二分类loss
#239 opened May 21, 2020 by henbucuoshanghai
Modify model a little, Recall/Precison/mAP is very low
#237 opened May 9, 2020 by dingxueli
imagenet pre-trained model
#236 opened May 8, 2020 by jhl13
single image input or batch input for converted weight?
#235 opened May 8, 2020 by ZUB41R
ProTip! Exclude everything labeled bug with -label:bug.