Comments (1)
- The conversion is actually using my keras_reload_from_torch_model. The specific conversion for yolox is in my own notebook Atom_notebook yolox/reload-torch-weights. Yolor is almost similar. It's still for my own usage and not documented.
- Some others also there: Efficientdet conversion and more others pytorch_to_keras.
- Ya, the training script is
coco_train_script.py
. Just I still don't know the best parameters like optimizer / augment for training, so you need to find out by yourself. :)
from keras_cv_attention_models.
Related Issues (20)
- EfficientVit-B0 ImageNet 224 Weights Released HOT 2
- Convnextv2 outputs nan when training in fp16 HOT 7
- Extraction of heatmaps from attention layers. HOT 1
- Super-resolution using transformes HOT 2
- RepViT Models HOT 2
- Efficientnet EdgeTpu Models HOT 1
- Training custom model HOT 10
- Converting EfficientFormer into tflite doesn't work HOT 11
- EfficientVit-L Models HOT 3
- Amazing HOT 3
- feature extractor HOT 2
- will you have models for Fastsam and Mobilesam in the future? HOT 3
- coco_eval_script script with yolov7_w6_coco.h5 leads to low AP HOT 3
- CSPNeXt HOT 5
- PyTorch backend doesn't work in Kaggle notebook HOT 4
- Request To Add FlashInternImage Models HOT 3
- CLIP Testing Script HOT 2
- TFLite conversion for llama2 tiny models HOT 2
- problem to infer properly on custom trained yolov8 HOT 2
- yolov8 instance segmentation HOT 5
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