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Chris-hughes10
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Yolov7-training
A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.
GNU General Public License v3.0
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Testing the trained model
#24
dstkibrom
closed
4 months ago
1
Fixed mixed precision
#23
lars-nieradzik
closed
5 months ago
2
pair_wise_cls_loss incorrect?
#22
lars-nieradzik
closed
5 months ago
3
Transforms throw errors on non-square images
#21
d-colwell
opened
7 months ago
0
Error when training a _w6 model
#20
d-colwell
opened
7 months ago
1
Hi, How do you resume from best_model.pt?
#19
ross-Hr
opened
11 months ago
0
AttributeError: 'DistributedDataParallel' object has no attribute 'postprocess'
#18
ross-Hr
closed
11 months ago
7
Once custom yolov7 trained, how can I use it into test.py and detect.py?
#17
dimcarien
closed
1 year ago
1
annotated data format
#16
nahidalam
closed
1 year ago
1
Is there a bug in get_yolov7_e6e_config
#15
HexCrafts
closed
1 year ago
1
Add yolov7-tiny pretrained weights
#14
tkupek
closed
1 year ago
8
Resume training
#13
nemeziz69
closed
1 year ago
5
Request for yolov7-tiny weights
#12
varshanth
closed
1 year ago
11
best_model.pt usage
#11
nemeziz69
closed
1 year ago
1
List or Tuple as output?
#10
jmcginn
opened
1 year ago
1
Run on GPU
#9
nemeziz69
closed
1 year ago
1
Error during fine tuning
#8
varshanth
closed
1 year ago
1
yolov7-face-detection
#7
elharchali
closed
1 year ago
1
Feature Request: Instance Segmentation
#6
dariush-bahrami
closed
1 year ago
1
fix: :bug: fix device error in indexed tensor
#5
dariush-bahrami
closed
1 year ago
1
if bbox error
#4
GeorgePearse
closed
1 year ago
1
Add custom code
#3
Chris-hughes10
closed
1 year ago
0
Model refactor
#2
bepuca
closed
1 year ago
0
Loss function refactored with a better understanding
#1
bepuca
closed
1 year ago
0