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YoloV3 Implemented in Tensorflow 2.0

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```python # 3. inverting the pred box equations grid_size = tf.shape(y_true)[1] grid = tf.meshgrid(tf.range(grid_size), tf.range(grid_size)) grid = tf.expand_dims(tf.stack(grid, axis=-1), axis=2) true_xy = true_xy * tf.cast(grid_size, tf.float32) - \ tf.cast(grid, tf.float32)...

I tested Tiny YOLOv3 on a video using weights from training as well as a saved model created using `tools/export_tfserving.py`. The outputs can be seen [here](https://imgur.com/a/pnzaRgf). In the saved model...

Hi, I'm trying to train the model on a modified version of the xView dataset which leads me to some questions. 1. I would like to add some negative examples...

I am currently training this on the xview dataset for just 1 class. To note, each image is around 3000^2 pixels and each object in the image is super small...

How do i resume training, what changes shiuld i make to continue training from where it left

指令:python train.py --dataset ./data/Face/face_train.tfrecord --val_dataset ./data/Face/face_val.tfrecord --classes ./data/Face/face_label.names --num_classes 2 --mode fit --transfer darknet --batch_size 2 --epochs 10 --weights ./checkpoints/yolov3.tf --weights_num_classes 80 我的数据集通过voc_2012.py变为tfrecord格式,用visual_dataset.py也能从中随机抽取图片,并精确的标注出了目标,但是每当我训练的时候,到了第420次时,总出现以下问题,请问有谁知道问题出在哪里吗? 2020-03-17 22:47:23.177447: W tensorflow/core/common_runtime/bfc_allocator.cc:305] Garbage collection: deallocate...

got 4 fps with yolov3-tiny on detect-video from webcam

While executing `python convert.py --weights ./data/yolov3-tiny.weights --num_classes 6 --output ./checkpoints/yolov3-tiny.tf --tiny` to convert my tiny yolo weights i am having this issue: ![Screenshot from 2020-05-07 19-36-30](https://user-images.githubusercontent.com/28608751/81321061-c99b8f80-909a-11ea-91c4-1037e75c6eb2.png) please help

I'm trying to figure out the right structure of data being fed to the model during training: In train.py, you map dataset.py's transform_targets() fn, which in turn applies transform_targets_for_output(), which...