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* Add AvgPool2d as a layer * Clean up a bit * Remove stateless layers in yolo_nn * More cleanup * Save label for test * Add test for YOLO * Test without cv2 * Don't fail if cv2 not installed * Better import * Fix image read * Use opencv :) * Don't download the file * Fix errors * Use same version * Set higher confidence * Why is the confidence so low? * Start over * Remove stateless layers * Remove extra lines * Revert changes * Save a few more lines |
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| .. | ||
| yolo | ||
| benchmark_train_efficientnet.py | ||
| compile_efficientnet.py | ||
| compile_tensorflow.py | ||
| deep_deterministic_policy_gradient.py | ||
| efficientnet.py | ||
| hlb_cifar10.py | ||
| hlb_cifar10_torch.py | ||
| mnist_gan.py | ||
| serious_mnist.py | ||
| stable_diffusion.py | ||
| train_efficientnet.py | ||
| train_resnet.py | ||
| transformer.py | ||
| vgg7.py | ||
| vit.py | ||
| yolov3.py | ||
| yolov8.py | ||