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naseemap47
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YOLO-NAS
Train and Inference your custom YOLO-NAS model by Single Command Line
Apache License 2.0
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Qat
#59
naseemap47
closed
5 months ago
0
Github link provided is for auto annotater.
#58
suku47
closed
5 months ago
1
Downgrade torch version and bump super-gradients
#57
IamShubhamGupto
closed
5 months ago
2
Torch and Torch-quantization module mismtach
#56
IamShubhamGupto
closed
5 months ago
1
Yolo dataset format
#55
errors4o4
closed
5 months ago
1
Support to export onnx model with/without quantinzation
#54
rose-jinyang
closed
7 months ago
2
Running into problem while using inference for webcam
#53
Sumeshbaba
closed
8 months ago
11
NMS missing in inference
#52
ghost
opened
9 months ago
1
memory err when training
#51
funnymean
closed
9 months ago
3
How to custom model ?
#50
YoungHsu1002
opened
10 months ago
0
Qat
#49
naseemap47
closed
7 months ago
0
Json
#48
naseemap47
closed
11 months ago
0
Read data from s3 bucket in Sagemaker
#47
HannahAlexander
opened
11 months ago
1
Resume
#46
naseemap47
closed
11 months ago
0
Resume
#45
naseemap47
closed
11 months ago
0
training with more epochs
#44
oussaifi-majdi
closed
11 months ago
7
Error in the training
#43
oussaifi-majdi
closed
11 months ago
4
Scratch training
#42
Y-T-G
closed
10 months ago
0
Why do I get an error when I use weights saved in the first training
#41
wjli-debug
closed
1 year ago
7
Batch
#40
naseemap47
closed
1 year ago
0
fixed issue with pre_list (int-class_names), removed class_names return from get_bbox
#39
naseemap47
closed
1 year ago
0
Quantization aware training support
#38
jeck00119
closed
7 months ago
4
Batch
#37
naseemap47
closed
1 year ago
0
Sg 3.1.3
#36
naseemap47
closed
1 year ago
0
Does this train from scratch or uses pre-trained weights?
#35
Y-T-G
closed
1 year ago
9
added inference timer for images and videos/cam/RTSP
#34
naseemap47
closed
1 year ago
0
Inference Speed Calculation
#33
HaoqianSong
closed
1 year ago
2
updated Validating Model part, removed 2nd unessery loading of best model
#32
naseemap47
closed
1 year ago
0
22 runtimeerror input type torchcudabytetensor and weight type torchcudahalftensor should be the same
#31
naseemap47
closed
1 year ago
0
22 runtimeerror input type torchcudabytetensor and weight type torchcudahalftensor should be the same
#30
naseemap47
closed
1 year ago
0
22 runtimeerror input type torchcudabytetensor and weight type torchcudahalftensor should be the same
#29
naseemap47
closed
1 year ago
0
faced issue with pip install -r requirements.txt, updated with manuall pip installation
#28
naseemap47
closed
1 year ago
0
22 runtimeerror input type torchcudabytetensor and weight type torchcudahalftensor should be the same
#27
naseemap47
closed
1 year ago
0
Train args
#26
naseemap47
closed
1 year ago
0
Train args
#25
naseemap47
closed
1 year ago
0
Training a quantized int8 version of yolo
#24
nezarelkadyy
closed
7 months ago
3
Yolo-nas change image size and pt save
#23
john09282922
closed
1 year ago
2
RuntimeError: Input type (torch.cuda.ByteTensor) and weight type (torch.cuda.HalfTensor) should be the same
#22
mitra137400
closed
1 year ago
6
Training on two GPUs
#21
HaoqianSong
closed
1 year ago
2
added val data evaluation after training
#20
naseemap47
closed
1 year ago
0
is there val check?
#19
john09282922
closed
1 year ago
4
train.py: error: argument --warmup_mode: invalid float value: 'linear_epoch_step'
#18
As957LoveYourSelf
closed
1 year ago
3
fixed typo error - warmup_mode args to str
#17
naseemap47
closed
1 year ago
0
BTW, I changed the line 32 of "train.py"
#16
naseemap47
closed
1 year ago
1
inference.py GOT : RuntimeError: Input type (unsigned char) and bias type (c10::Half) should be the same
#15
zhuzhuojiang
closed
1 year ago
11
Train args
#14
naseemap47
closed
1 year ago
0
training explain in detail info
#13
john09282922
closed
1 year ago
2
Inference img
#12
naseemap47
closed
1 year ago
0
custom Dataloaders
#11
kaustubhroy1995
closed
1 year ago
2
Req update
#10
naseemap47
closed
1 year ago
0
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