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Hi,
I am doing inference of tiny-yolo-v3 on google collab using GPU runtime.
GPU used was Tesla P100-PCIE-16GB.
After running the darknet inference command , The predicted time shown was 0.91 se…
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wen l run training
./darknet detector train data/obj.data yolov3-tiny-obj.cfg yolov3-tiny.conv.15
yolov3-tiny-obj
something happened
decay: Using default '0.000100'
layer filters size …
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I used the same data to train on tiny-yolo and yolov2.
on tiny-yolo,I got a good detection result(recall about 0.8).
But on yolov2, even I have trained 40000 batch, the obj is still lower than 0.1…
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@AlexeyAB writing stopbackward=1 in cfg file and then fine tuning isn't giving results as yolov2 23 layer architecture. mAP is 0.0% before and after fine tuning yolov2-tiny-voc.cfg and corresponding w…
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how should i set defaults.py ,if i want to train tiny-yolo-voc.cfg loading tiny-yolo-voc.weights.
def setDefaults(self):
self.define('imgdir', './sample_img/', 'path to testing directory with images…
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Models
- [ ] YOLO v2
- [x] YOLO v2-tiny
- [ ] YOLO v3
- [ ] YOLO v3-tiny
- [ ] custom model
Datasets
- [x] Optional downloading of datasets
- [x] VOC
- [ ] COCO
- [ ] ImageNet
- [ ] Custo…
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Hi.
I tried to train by
Make train
command.
But, I can not finished training. as below
```
Traceback (most recent call last):
File "/home/sounansu/anaconda3/envs/tiny-yolo-tensorflow/lib/pyt…
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I have all the training images sizes - height =614 width =707
But the size in the tiny-yolo-voc.cfg file is height =414 width =414 by default.
I edited the tiny-yolo-voc.cfg to tiny-yolo-voc-1c for …
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I am facing the following error:
```python
ValueError: cannot reshape array of size 5370 into shape (30,256,1,1)
```
What I did
-Changed config.py as follows.
```python
# YOLO options
__C.YO…
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Hi @AlexeyAB ,Great implementation of Darknet!
This issue is basically regarding custom training.I had generated weights for tiny-yolo training using the follwing command:
'''./darknet partial tiny-…