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🙄 Difficult algorithm, Simple code.

Results 108 TensorFlow2.0-Examples issues
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Hi, Thanks for this amazing project @YunYang1994 . When using the `image_demo.py`, I'm getting the following warnings: ``` /yolov3-tf2-master/YunYang1994_TF2_YoloV3/TensorFlow2.0-Examples/4-Object_Detection/YOLOV3/core/utils.py:221: RuntimeWarning: invalid value encountered in maximum pred_coor = np.concatenate([np.maximum(pred_coor[:, :2], [0,...

Does there any scripts convert coco to image list format?

iou = bbox_iou(pred_xywh[:, :, :, :, np.newaxis, :], bboxes[:, np.newaxis, np.newaxis, np.newaxis, :, :]) 计算预测框与真实框的iou是怎样扩展维度的? #bboxes shape (batch_size,max_bbox_per_scale,4)-->(batch_size,1,1,1,max_bbox_per_scale,4) #pred_xywh shape (batch_size,out_size,out_size,3,4)-->(batch_size,out_size,out_size,3,1,4) shape变化后是否如上所示,两个张量之间shape不匹配计算的过程是怎样的?例如left_up = tf.maximum(boxes1[..., :2], boxes2[..., :2])是怎样计算的?感谢作者

在 yolov3.py 中的 decode 部分,[conv_sbbox, conv_mbbox, conv_lbbox] 对应的 STRIDE 为什么是 [8, 16, 32] 呢?不应该是小的 conv_sbbox 乘以比较大的 32 倍才能还原吗?

![捕获](https://user-images.githubusercontent.com/34980591/62418699-4def5b00-b6a2-11e9-9e09-cd3e25cbd023.JPG) 使用的一个两类别的数据集训练

with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!

good first issue

先谢谢作者,训练、测试代码都已经跑通,在我自己数据集上效果还可以,但是我发现保存的log文件在tensorboard一直是No scalar data was found.我尝试了好多方法,可是一直没有,想问作者是怎么操作的,谢谢!!我的tensorboard是1.14.0,即使我把它拷贝到其他电脑上也是一样的问题。。

Hey, thanks for the repo. Is it possible for you to provide a tutorial or instruction sheet for custom object detection? I would like to use TF2.x and YOLOV3. I'm...

没看懂这部分代码,生成的图片没用上吗? ``` if self.data_aug: image, bboxes = self.random_horizontal_flip(np.copy(image), np.copy(bboxes)) image, bboxes = self.random_crop(np.copy(image), np.copy(bboxes)) image, bboxes = self.random_translate(np.copy(image), np.copy(bboxes)) ```

这个没有download怎么下载???