omni-us squeezedet-keras issues

omni-us / squeezedet-keras

Keras implementation of the Squeeze Det Object Detection Deep Learning Framework

MIT License

129 stars 41 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

The loss plateaus after 100 Epoch

#30 ROZBEH opened 3 years ago
0
Loss Function goes to "nan"

#29 tamraouisebti closed 4 years ago
2
Changing network input size

#28 reorder-cv opened 5 years ago
0
Vizualization on Squeezedet

#27 alexandruvesa opened 5 years ago
0
What is anchor seed?

#26 Caliber2 opened 5 years ago
1
How can I perform inference using a model I trained

#25 eypros opened 5 years ago
1
DataGenerator - Bounding box scaling Issue

#24 rdbch opened 5 years ago
0
Module not found

#23 madiltalay opened 5 years ago
4
Allowing dynamic data augmentation

#22 supernlogn opened 5 years ago
0
Update modelLoading.py

#21 Paprikar closed 5 years ago
0
How you defined ANCHOR_SEED default?

#20 anburiyan opened 6 years ago
0
Typo in train.py

#19 xiorcale opened 6 years ago
0
Hard example mining

#18 cygerts opened 6 years ago
0
Why loss without regularization?

#17 hoonkai opened 6 years ago
1
Provide link to original implementation

#16 hoonkai closed 5 years ago
0
Train squeezedet for own dataset for 1 class

#15 Shashikant255 opened 6 years ago
4
Network output does not match?

#14 kentaroy47 closed 6 years ago
1
Testing of Trained Model

#13 saishiva024 opened 6 years ago
3
Is it possible to run this with kerasjs in the browser?

#12 void4 opened 6 years ago
0
Change path to create_config.py in README

#11 IamPhytan closed 6 years ago
1
Training time for new data

#10 agunapal opened 6 years ago
1
How to use pretrained model from TF

#9 cygerts opened 6 years ago
1
No disk activity after first epoch

#8 egglue closed 6 years ago
0
Layout of annotations file

#7 suchiek closed 6 years ago
1
Lower recall and precision than original version

#6 hoonkai opened 6 years ago
4
Duplicate methods

#5 mistiansen closed 6 years ago
1
Deployment on server / mobile

#4 amanmeetgarg closed 6 years ago
7
missing quotes for text block

#3 amanmeetgarg closed 6 years ago
1
Should MAP really be "Mean Interpolated Average Precision"?

#2 hoonkai closed 6 years ago
4
added images to readme, fixed env > venv in install.md

#1 Sileadim closed 6 years ago
0