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23 Open 2 Closed
23 Open 2 Closed
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Issues list

How many (classes of) objects can YOLO detect?
#25 opened Dec 13, 2021 by ridvanozdemir
1
Pre-trained weights
#24 opened Nov 20, 2021 by tiva-OG
2
FileNotFoundError: [Errno 2] No such file or directory: 'data/obj'
#23 opened Nov 4, 2021 by zunomohtar
2
where is log file to create tensorboard
#21 opened Jul 11, 2021 by amtalat
Extracting output ( absolute co-ordinates and bounding boxes) in json format
#20 opened Apr 1, 2021 by basicvisual
Only best weights and last weights are saved in drive folder?
#19 opened Mar 30, 2021 by sarra-b
2
... and filters = 18 in the three convolutional layers before the YOLO layers.
#18 opened Mar 16, 2021 by mimslim
1
After training, network cannot detect anything from the training set
#17 opened Mar 12, 2021 by mimslim
Training Interruption without error or warning.
#16 opened Mar 7, 2021 by kchpomp
1
How can you use this model as deployment?
#15 opened Feb 1, 2021 by deshwalmahesh
Transfer Learning: Train on Traffic Signs with pre-trained weights
#14 opened Dec 2, 2020 by ridwan102
How can I pause training, change the batch size, and resume training using the same loss curve?
#13 opened Nov 13, 2020 by Aarav-Patel
abnormal training with colab
#12 opened Nov 11, 2020 by wwdok
Remove output layer of trained Yolo
#11 opened Nov 7, 2020 by Mshz2
mAP cannot be determined for yolov4
#10 opened Oct 27, 2020 by anusha657
Can not save trained weights
#9 opened Oct 12, 2020 by Rafiur
3
Issue with training on multiple classes
#8 opened Sep 9, 2020 by its-charan-here
Stop while training "Buffered data was truncated after reaching the output size limit."
#7 opened Sep 7, 2020 by luthfi07
how to pass file name in .darknet detect command
#6 opened Aug 24, 2020 by santhanal
Wrong annotation Error
#5 opened Aug 8, 2020 by husnejahan
Colab disconnects and all the files in the colab VM are lost
#4 opened Jul 17, 2020 by rishabh700
1
training for multiple object classes
#3 opened Jul 17, 2020 by rishabh700
CUDA status Error
#1 opened Jun 1, 2020 by GursimranSe
1
ProTip! Follow long discussions with comments:>50.