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I am struggling to understand it based on provided readme and provided examples - does this project support retraining of the face detector?
Or does it only provide fine-tuning script for the last p…
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Google's Face Mesh can be used here as a MTCNN alternative.
It is working really fast even on CPU and outputs very detailed 3D landmarks so the output gaze vector can be combined with 3D face in th…
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Hello again @AlexeyAB I am planning to integrate `mtcnn(Multi-task Cascaded Convolutional Network)` in darknet. The MTCNN model consists of 3 separate networks: the P-Net, the R-Net, and the O-Net: S…
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We currently do not support training a MTCNN model from scratch, only inference using pre-trained weights.
If you'd be interested in being able to train a custom model, please like or comment on t…
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I want to get more details on text_swap. I have found that some text of the 'orig' label and the 'text_swap' label are the same in the datasets. Can you provide a more detailed explanation of text_sw…
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@kpzhang93 mtcnn is slow by CPU, is there any solution to speed it up in real time?
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**Is your feature request related to a problem? Please describe.**
Whenever a person's mental health comes into a picture, it becomes very important to detect or find his/her emotion
**Describe t…
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Hi,
thank you for your amazing work.
Currently i would like to reproduce the results.
I notice that during my dataset preprocessing, if the selected frame using the protocol stated
> only sampl…
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A Deep learning based streamlit web app which can identify similar faces
Approach:
- using the MTCNN (Multi-task Cascaded Convolutional Networks) for face detection.
- using a pre-trained VGGFa…
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### 🐛 Describe the bug
I am running a facet-pytorch library for facial recognition. I initialised the mtcnn class and passed on MPS as the device so I can run the program on that GPU for faster resul…