Error Result when predicting my own image.

[zyoohv]

This is my code about using your model to predict pose of my image.
Is there any wrong with it ?
Can you provide me a right one ?

from lib.models.pose_resnet import get_pose_net
from lib.core.config import config
from lib.core.config import update_config
config.TEST.FLIP_TEST = True
config.TEST.MODEL_FILE = 'pose_resnet_50_256x256.pth.tar'
update_config('experiments/mpii/resnet50/256x256_d256x3_adam_lr1e-3.yaml')
model = get_pose_net(config, is_train=False)

import torch
import cv2
import numpy as np
img = cv2.imread('0.png')
img = cv2.resize(img, (256, 256))
img = np.transpose(img, (2, 0, 1)).astype(np.float32)
img = (img / 255 - 0.5) * 2
img = torch.tensor(img).unsqueeze(0)
with torch.no_grad():
    res = model.forward(img)
print(img.shape)
print(res.shape)

torch.Size([1, 3, 256, 256])
torch.Size([1, 16, 64, 64])

def getpoint(mat):
    height, width = mat.shape
    mat = mat.reshape(-1)
    idx = np.argmax(mat)
    return idx // height, idx % width

raw = ((np.array(img.squeeze()) / 2 + 0.5) * 255).astype(np.uint8)
raw = cv2.resize(np.transpose(raw, (1, 2, 0)), (64, 64))
poi = np.array(res.detach().squeeze())
print(raw.shape)
print(poi.shape)

(64, 64, 3)
(16, 64, 64)

image = raw
for mat in poi:
    x, y = getpoint(mat)
    print(x, y)
    cv2.circle(image, (x, y), 1, (255, 0, 0))
import matplotlib.pyplot as plt
plt.imshow(image)

19 30
12 37
22 28
13 37
18 30
13 36
7 32
8 31
18 28
8 34
12 36
7 22
12 38
11 40
18 27
15 30





<matplotlib.image.AxesImage at 0x7fa42088ab00>

[leoxiaobin]

Please follow our validation code for prediction.