报错ValueError: operands could not be broadcast together with shapes (448,448) with (224,224)

这个错误发生原因是因为图片的尺寸与weight 不匹配，不能做乘积，所以需要改变图片尺寸。

使用如下代码：img = cv2.resize(img, (448, 448))

加在img = cv2.resize(img, (448, 448)) img = cv2.cvtColor(img, cv2.COLOR_RGB2RGBA) x_offset = y_offset = 0 y1, y2 = y_offset, y_offset + image.shape[0] x1, x2 = x_offset, x_offset + image.shape[1]
这里

类似错误：

h大小： 224
w大小： 224
mesh形状： (448, 448)
image形状： (448, 448)
image大小： (448, 448, 4)
img大小： (224, 224, 4)
Traceback (most recent call last):
  File "trimesh_renderer.py", line 124, in <module>
    visualize(renderer, original_img, params, vertices, cam, joints)
  File "/Users/elaine/Desktop/hmr2/src/notebooks/vis_util.py", line 162, in visualize
    img_overlay = renderer(vert_shifted, img=img, bg_color=np.array((255.0, 255.0, 255.0, 1)))
  File "trimesh_renderer.py", line 63, in __call__
    img[y1:y2, x1:x2, c] = (alpha_mesh * image[:, :, c] + alpha_image,img[y1:y2, x1:x2, c])
ValueError: could not broadcast input array from shape (2) into shape (224,224)