FurkanOM/tf-faster-rcnn
Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones
PythonApache-2.0
Issues
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Bounding box resizing in preprocessing??
#25 opened by RohanKittu - 0
variances in train_utils.py
#23 opened by ruman1609 - 0
Data Request
#22 opened by ML-MARK - 13
Erorr in reg_loss
#14 opened by SalehShmali - 3
ValueError: The two structures don't have the same sequence length. Input structure has length 0, while shallow structure has length 9.
#17 opened by SalehShmali - 1
Predict Error
#21 opened by ruman1609 - 0
Question about epochs and learning rate selection
#20 opened by trzy - 0
Is there a trained checkpoint or weight h5 file?
#19 opened by Alarak99 - 1
ValueError: The two structures don't have the same sequence length. Input structure has length 0, while shallow structure has length 9.
#7 opened by zl190 - 0
怎么指定自己的VOC数据集
#16 opened by hx358031364 - 0
请问作者,voc2007和voc2012数据集训练时是怎么存放的?
#15 opened by jxuepeng - 1
Training strategy
#13 opened by haoyuhsu - 0
No such file or directory
#12 opened by zkbaba - 3
数据集下载
#5 opened by man5586132 - 0
ValueError: Dimension 2 in both shapes must be equal, but are 4 and 1. Shapes are [?,1500,4] and [?,1500,1]. for '{{node roi_deltas/Select_1}} = Select[T=DT_FLOAT](roi_deltas/ExpandDims_9, roi_deltas/GatherV2_1, roi_deltas/zeros_like_1)' with input shapes: [?,1500,1], [?,1500,4], [?,1500,4].
#11 opened by prateeklath - 1
ValueError: Dimension 2 in both shapes must be equal, but are 4 and 1. Shapes are [?,1500,4] and [?,1500,1]. for 'roi_deltas/Select' (op: 'Select') with input shapes: [?,1500,1], [?,1500,4], [?,1500,4].
#9 opened by SeHwanJoo - 1
HOW to train my own dataset?
#10 opened by MC1016 - 1
Does it support multi-GPU training?
#8 opened by HuizhouLi - 3
ValueError: The two structures don't have the same sequence length. Input structure has length 0, while shallow structure has length 9.
#6 opened by sabeeha1 - 3
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bouding boxes predictions on rpn
#3 opened by emipasat - 1
- 3