Comments (3)
yrcong
commented on July 19, 2024
Do you mean the command?
python inference.py --img_path $IMAGE_PATH --resume $MODEL_PATH
Make sure your relative/absolute path is correct, and please report your error for more details.
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Zhangwt100
commented on July 19, 2024
Do you mean the command?
python inference.py --img_path $IMAGE_PATH --resume $MODEL_PATHMake sure your relative/absolute path is correct, and please report your error for more details.
我的意思是您提供的colab的demo
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yrcong
commented on July 19, 2024
Please make sure the link is available and check that the channel of the source image is not 4 (RGBA), which is expected to be 3 (RGB).
I tried some links, they work fine, for example:
https://upload.wikimedia.org/wikipedia/commons/thumb/8/88/Yellow_Happy.jpg/1200px-Yellow_Happy.jpg
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Related Issues (20)
- Training on Visual Genome dataset HOT 2
- dataset bbox HOT 3
- Evaluation
- Train and Test for custom images HOT 3
- when will you release open image train / evaluation code? HOT 2
- Unable to download checkpoint from drive HOT 2
- Evaluation on Colab failing HOT 3
- Does the provided checkpoint only support 152 object classes? HOT 1
- The training and evaluation code for OpenImage dataste. HOT 3
- How to Calcualte PredCLS and SGCls ? HOT 6
- Some details about Open Image v6. HOT 4
- rel_logits vs pred_logits HOT 2
- cannot start training HOT 9
- annotation files HOT 2
- you commented out training code, training does not work at the moment HOT 4
- Memory Utilization Issue HOT 1
- The problem of training time HOT 2
- Will RelTR support Resnet101 as backbone and provided a trained checkpoint with Resnet101 as backbone? HOT 1
- About the training Code for OpenImages V6 HOT 1
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