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INFO: iter: 0, lr: 0.000010, 'loss_xy': '1.828222', 'loss_wh': '5.254690', 'loss_obj': '130.993652', 'loss_cls': '30.401878', 'loss_iou': 'nan', 'loss': 'nan', time: 0.000, eta: 0:00:00
paddlepaddl…
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INFO: iter: 0, lr: 0.000010, 'loss_xy': '1.828222', 'loss_wh': '5.254690', 'loss_obj': '130.993652', 'loss_cls': '30.401878', 'loss_iou': 'nan', 'loss': 'nan', time: 0.000, eta: 0:00:00
paddlepaddl…
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Now that yolov4 has appeared, can your improved Gaussian loss be applied to v4? v4 already uses ciou. thanks for the reply
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Hi.
I want to convert a darknet model trained on 4 channels to an rt file.
I modified the inside of darknet to train the model in 4 channels with rgb plus depth. So I tried exporting the model in th…
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Hi everybody.
I have an error when I run ./test_yolo4. Here is the code:
`Not supported field: batch=1
Not supported field: subdivisions=1
Not supported field: momentum=0.949
Not supported fie…
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Hello, I was training a model using FCOS or RetinaNet, backbone was ResNet18 using multiple GPUs, however, its loss was "nan" after 50 to 300 iters. Sometimes loss can converge normally(1 /10)
Faster…
Tahy1 updated
3 years ago
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Test models with good hyperparameters: https://github.com/AlexeyAB/darknet/issues/3114#issuecomment-557499650 and https://github.com/AlexeyAB/darknet/issues/4147#issuecomment-560165394
```
batch=6…
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So, I have just one class of object that I'm trying to recognize.
- I have 70 "positive" example images that contain the object (labeled using Yolo_mark).
- I have 30 "negative" control images tha…
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@train.py line 149~159
writer.add_scalar('loss_ciou', mloss[0], len(self.train_dataloader) / (cfg.TRAIN["BATCH_SIZE"]) * epoch + i)
The argument step should be
writer.add_scalar('loss_ciou', mlo…
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## 🚀 Feature
It will be more convenient for Colab user to save checkpoints in Google Drive than in yolov5/runs.
## My idea
Just change in nearly line 458 to 464 (in my current version):
``…