AdaptiveWingLoss
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[ICCV 2019] Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression - Official Implementation
why are you taking an average of points for eye coordinates to calculate the norm_factor ``` left_eye = np.average(gt_landmarks[36:42], axis=0) right_eye = np.average(gt_landmarks[42:48], axis=0) norm_factor = np.linalg.norm(left_eye - right_eye) ```...
I was trying to pass a landascape image with no faces at all. the model seems to predict anyway the landmarks.. this seems wrong
Hello, I have trained the model, and the NME of the model is 4.68. How can I get 4.36 NME. Can you tell me the details of the training model?
` import matplotlib.pyplot as plt import cv2 import sys import os from PIL import Image, ImageDraw from utils.utils import fan_NME, show_landmarks, get_preds_fromhm import numpy as np from skimage import io...
Hi, and thank you for making this code available. What steps do I need to do to run this code on a single image and draw the landmarks? Is there...
Hi, just wanted to know how is the network able to draw facial landmarks even when the facial feature is hidden behind some other objects? How to make the network...
thaks for u sharing.