Comments (1)
Hi, can you run demo.py successfully? Please try modifying demo.py, which is used to predict landmarks for a given image. If the test image is already cropped, you can remove the codes related to face detection (line 80 to 101) and remove the for loop. Make sure the image is resized to 256.
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Related Issues (20)
- Can the project be deployed on WINDOWS HOT 2
- get_meanface error HOT 1
- sh make.sh HOT 1
- Excuse me,How to get the data for this file,'meanface.txt' HOT 2
- tf2 model or tflite HOT 1
- About LaPa preprocess.py part HOT 2
- Where is celeba_bboxes.txt? HOT 2
- troubleshooting sh run_train.sh HOT 3
- Is the stride or feature map size influence the NME? HOT 2
- Training with data where some points are missing from GT HOT 1
- Cfg file for running the demo of MobileNetv2 and MobileNetV3 models HOT 6
- increasing accuracy if using only eye eyebrow nose landmark HOT 1
- gssl training HOT 5
- Very low GPU utilizaiton ratio HOT 1
- Can this project include the forehead? HOT 5
- crop process issue HOT 1
- Cannot change the parameters in config HOT 1
- PIPNets HOT 1
- Training only the eyes and mouth parts of the key points, there is a strange problem HOT 4
- Hello, does this model heavily rely on the pre existing face detection model? If the face detection model is not very robust, will there be any issues with the model? I found during the experiment that the effectiveness of face detection greatly affects the effectiveness of the facial keypoint localization model. Looking forward to your reply HOT 1
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