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| | | Currently trying to generate enough images to start model training. Hopefully this helps. |
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| | | Recompiled darknet with OpenCV and CUDNN installed, and recalculated anchors. |
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| | | Recompiled darknet with OpenCV and CUDNN installed, and recalculated anchors. |
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| | | ----------------------- |
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| | | I've ran a quick training with tiny_yolo configuration with new training data, and Voila! The model performs significantly better than the last iteration, even against some hard images with glaring & skew! The first prediction model can't detect anything from these new test images, so this is a huge improvement to the model :) |
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| | | <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_detection_result_1.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_decision_result_2.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_decision_result_3.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_decision_result_4.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_decision_result_5.jpg" width="360"> <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_decision_result_6.jpg" width="360"> |
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| | | <img src="https://github.com/hj3yoo/darknet/blob/master/figures/1_learning_curve.jpg" width="360"> |
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| | | The video demo can be found here: https://www.youtube.com/watch?v=kFE_k-mWo2A&feature=youtu.be |
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