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```
faces, landmarks = detector.detect(img, 0.9)
/RetinaFace-tf2/src/retinafacetf2/networks/network_utils.py in load_weights(weight_file)
---> 16 weights_dict = np.load(weight_file, allow…
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Hi Filip,
I am new to these datasets and hence the confusion. Usually we have training data with landmark ids , their GT (positive samples) and then separate query images and corresponding positive s…
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Hi, I'm trying to use mediapipe from .net to estimate human body poses from images. Here's the python code:
```python
import numpy as np
import mediapipe as mp
pose = mp.solutions.pose.Pose()
…
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Before you open an issue, please make sure you have tried the following steps:
1. Make sure your **environment** is the same with (https://mace.readthedocs.io/en/latest/installation/env_requirement…
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Hi,
I really appreicate your efforts on this outstanding face detector. And I am trying to train my own detector on other kind of objects, but I am a little bit confused of the input label format of …
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想问一下运行gen_landmark_aug_24.py报如下错误该怎么解决呀
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We provided [`run_example.py`](https://github.com/patrikhuber/fg2018-competition/blob/master/run_example.py) but it might not be clear enough (see e.g. #2) how to run the evaluation on the whole datas…
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Hello, thank you for your work. Is it possible to train the model with additional custom data, where not all the points have Ground Truth positions? For example, I want to train for 68 landmarks, bu…
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# Axe-core® Accessibility Results for /en-US/advertising/
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In ./datasets/CASIA_CK+_data_gen.py file:
you set the dimension of sample_numpy is 4, then through some concat operations, I did not see where the dimension could be changed. But in data_normalizatio…