| | |
|---|
| | | |
|---|
| | | <img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_5.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_6.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/0_detection_result_7.jpg" width="360"> |
|---|
| | | |
|---|
| | | The second and third problems should easily be solved by further augmenting the dataset with random lighting and image skew. I'll have to think more about the first problem, though. |
|---|
| | | The second and third problems should easily be solved by further augmenting the dataset with random lighting and image skew. I'll have to think more about the first problem, though. |
|---|
| | | |
|---|
| | | ## Day 1 |
|---|
| | | ----------------------- |
|---|
| | | |
|---|
| | | Added several image augmentation techniques to apply to the training set: noise, dropout, light variation, and glaring: |
|---|
| | | |
|---|
| | | <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_1.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_2.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_3.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_augmented_set_example_4.jpg" width="360"> |
|---|
| | | |
|---|
| | | Currently trying to generate enough images to start model training. Hopefully this helps. |
|---|
| | | |
|---|
| | | Recompiled darknet with OpenCV and CUDNN installed, and recalculated anchors. |
|---|
