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85ff4ea | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | # This folder is modified from the https://github.com/Mikubill/sd-webui-controlnet
# Openpose
# Original from CMU https://github.com/CMU-Perceptual-Computing-Lab/openpose
# 2nd Edited by https://github.com/Hzzone/pytorch-openpose
# 3rd Edited by ControlNet
# 4th Edited by ControlNet (added face and correct hands)
import os
os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"
import torch
import numpy as np
from . import util
from .wholebody import Wholebody
def draw_pose(poses, H, W):
canvas = np.zeros(shape=(H, W, 3), dtype=np.uint8)
for pose in poses:
canvas = util.draw_bodypose(canvas, pose.body.keypoints)
canvas = util.draw_handpose(canvas, pose.left_hand)
canvas = util.draw_handpose(canvas, pose.right_hand)
canvas = util.draw_facepose(canvas, pose.face)
return canvas
class DWposeDetector:
def __init__(self, onnx_det, onnx_pose):
self.pose_estimation = Wholebody(onnx_det, onnx_pose)
def __call__(self, oriImg):
oriImg = oriImg.copy()
H, W, C = oriImg.shape
with torch.no_grad():
keypoints_info = self.pose_estimation(oriImg)
return draw_pose(
Wholebody.format_result(keypoints_info),
H,
W,
)
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