hizhangp/yolo_tensorflow
Tensorflow implementation of YOLO, including training and test phase.
PythonMIT
Issues
- 1
problem about yolo weights
#83 opened by maohy3 - 2
Approach for detecting nothing
#100 opened by candlecove-nju - 0
pascal_voc.py line 69 in prepare
#101 opened by Chung-Yi - 5
issue, I am wondering about following one
#68 opened by jk5500 - 11
Communicate in Chinese!中文交流!
#86 opened by i4yyds - 15
Did you train by yourself and test it?
#62 opened by kashiwachen - 0
Training my own dataset
#93 opened by Mahibro - 0
- 7
- 2
detect nothing
#80 opened by wengjinfang - 2
InvalidArgumentError (see above for traceback): LossTensor is inf or nan : Tensor had NaN values [[Node: train_op/CheckNumerics = CheckNumerics[T=DT_FLOAT, message="LossTensor is inf or nan", _device="/job:localhost/replica:0/task:0/device:CPU:0"](total_loss)]]
#89 opened by metaStor - 6
- 2
The issue of calculate center_x and center_y
#97 opened by MingtaoGuo - 0
What will we get after train and test?
#98 opened by liutianxin0722 - 8
- 1
Non-Maximum Suppression
#85 opened by i4yyds - 1
help ,thanks
#75 opened by Zonkidd-sh - 2
Two question of three lines of codes.
#55 opened by XiangqianMa - 0
How to use training output?
#95 opened by reni-min - 4
Custom data training error
#82 opened by JunShao-Hub - 0
How do i fix this?
#94 opened by Mahibro - 2
改变config文件中CELL_SIZE改变后程序出现错误
#92 opened by pengzi2017 - 0
将cell
#91 opened by pengzi2017 - 0
maybe I can not use my gpu?
#90 opened by zhaojw219 - 1
InvalidArgumentError input and filter must have the same depth: 14 vs 1024
#57 opened by raghavgurbaxani - 0
Bounding Box Values Extraction
#88 opened by sharadhigm - 3
When training my own data set ( one class ), there are the following mistakes, how to solve them, and tell them! Thank you
#73 opened by xm1112 - 4
- 1
How to use GPU ?
#67 opened by haixiaotian - 2
Train loss not decrease
#84 opened by zzh805780186 - 1
InvalidArgumentError (see above for traceback): LossTensor is inf or nan : Tensor had NaN values [[Node: train_op/CheckNumerics = CheckNumerics[T=DT_FLOAT, message="LossTensor is inf or nan", _device="/job:localhost/replica:0/task:0/device:CPU:0"](total_loss)]]
#79 opened by zx-code123 - 0
A question about test.py
#81 opened by Polaris-SDU - 0
TEST.py won't terminate
#76 opened by Meghal17 - 2
Pre-trained model problem
#61 opened by zihao-lu - 6
Labels generated has some issue
#63 opened by aditya1709 - 0
no output when i run train.py, please help
#78 opened by yurenchou - 0
Why the groundtruth label of 2 bounding box in each cell are the same?? Help plz
#77 opened by weiaicunzai - 0
ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[45,28,28,512]
#71 opened by Mikoto10032 - 0
labels is not scaled?
#72 opened by stutys - 1
- 1
some prolems about code
#58 opened by Polaris-SDU - 0
how to calculate xmin
#66 opened by gxpzy - 0
Dose it have any mean?
#65 opened by NineBall9 - 0
Hello, I want to ask, is there a precision display in Tensorboard visualization? I have only a loss after I run.
#64 opened by xm1112 - 1
- 1
Which version of YOLO are you using?
#60 opened by giacomobartoli - 1
Can the author's initial weights be shared?
#51 opened by zyyhl - 1
error run train.py
#56 opened by lichacha - 0
One question of the output tensor of yolo.
#54 opened by XiangqianMa - 0
Question on yolo backward function
#52 opened by shuieryin