pytorch-DEX
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How can I train the network using my own datasets?
I used your model file, but got an error of about 8-10 years old. I want to re-use the data set for training. What should I do?
Thanks for your work! Could you share the script of train/val? @siriusdemon
Refer to its Home Page , you can find the dataset and train/val prototxt. @ReedZyd @YOKE
I used your model file, but got an error of about 8-10 years old. I want to re-use the data set for training. What should I do?
For your problem, you can follow the origin paper: crop the face firstly, then apply the dex network to the cropped face.
do you have the code for the hole project? including face cropping and training.
Nope.
For face cropping, you can use PCN or facessh or any other face detector you can find. PCN has already provided a face cropping function.
For face training, you can refer to Home Page for more details.
thanks, i will try later
---Original--- From: "Sirius Demon"[email protected] Date: Thu, Jun 27, 2019 11:14 AM To: "siriusdemon/pytorch-DEX"[email protected]; Cc: "cliobeach"[email protected];"Comment"[email protected]; Subject: Re: [siriusdemon/pytorch-DEX] How can I train the network using my own datasets? (#2)
No yeah.
For face cropping, you can use PCN or facessh or any other face detector you can find. PCN has already provided a face cropping function.
For face training, you can refer to Home Page for more details.
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thanks,i will try later。
---Original--- From: "Sirius Demon"[email protected] Date: Thu, Jun 27, 2019 11:14 AM To: "siriusdemon/pytorch-DEX"[email protected]; Cc: "cliobeach"[email protected];"Comment"[email protected]; Subject: Re: [siriusdemon/pytorch-DEX] How can I train the network using my own datasets? (#2)
No yeah.
For face cropping, you can use PCN or facessh or any other face detector you can find. PCN has already provided a face cropping function.
For face training, you can refer to Home Page for more details.
— You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread.