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eval.py
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import cv2
from dataProcess import DataProcess, utils
import os
import json
import numpy as np
from tqdm.auto import tqdm
class Evaluation(object):
@classmethod
def dataload(cls):
path_DATA = 'E:/attitude/twice/fm/image0/DATA/image26.json'
path_img = 'E:/attitude/twice/fm/image0/image26.bmp'
mark = json.load(open(path_DATA, encoding='utf-8'))
img = cv2.imread(path_img)
j_len = len(mark['dots'])
for j in range(j_len):
cv2.circle(img, (int(mark['dots'][j]['Point']['X']), int(mark['dots'][j]['Point']['Y'])), 2, [0, 255, 0])
cv2.imshow('26', img)
cv2.waitKey(0)
@classmethod
def evalBP(cls):
'''
加载标注数据，两遍的进行均值。
根据加载数据运行算法，再投影，再算欧式距离就是单个样本的误差
:return: 总误差/样本数量
'''
frame_count = 100
sample_json_l = []
sample_data_l = []
dir = 'E:/attitude/twice/'
name_list = os.listdir(dir)
bpStep1 = np.zeros([21, 3])
K0 = np.array([[6.020215454101562500e+02, 0.000000000000000000e+00, 6.371241455078125000e+02],
[0.000000000000000000e+00, 6.018470458984375000e+02, 3.665009155273437500e+02],
[0.000000000000000000e+00, 0.000000000000000000e+00, 1.000000000000000000e+00]])
K1 = np.array([[6.052656860351562500e+02, 0.000000000000000000e+00, 6.425632934570312500e+02],
[0.000000000000000000e+00, 6.050792236328125000e+02, 3.652657165527343750e+02],
[0.000000000000000000e+00, 0.000000000000000000e+00, 1.000000000000000000e+00]])
K2 = np.array([[6.072551269531250000e+02, 0.000000000000000000e+00, 6.365347900390625000e+02],
[0.000000000000000000e+00, 6.072070312500000000e+02, 3.670882873535156250e+02],
[0.000000000000000000e+00, 0.000000000000000000e+00, 1.000000000000000000e+00]])
Rt10 = np.loadtxt('./param/1_0_abt_Rt.txt')
Rt20 = np.loadtxt('./param/2_0_abt_Rt.txt')
Rt10inv = np.linalg.inv(Rt10)
Rt20inv = np.linalg.inv(Rt20)
slice_window0 = []
slice_window1 = []
slice_window2 = []
drop_frame = False
for n in tqdm(name_list, desc=f'name processor:', leave=True, colour='green', ncols=100, position=0):
# if n != 'fm':
# continue
for f in tqdm(range(20, frame_count), desc=f'frame processor:', leave=True, colour='red', ncols=100,
position=1):
for ak in range(3):
img = cv2.imread(f'{dir}{n}/image{ak}/image{f}.bmp')
try:
json_file = json.load(open(f'{dir}{n}/image{ak}/DATA/image{f}.json', encoding='utf-8'))
except FileNotFoundError:
drop_frame = True
# print(f'no file: {n},image{ak}/{f}.bmp')
break
if json_file['dots'] is None or len(json_file['dots']) != 30:
drop_frame = True
# print(f'label not enough:{n},image{ak}/{f}.bmp',)
break
sample_json_l.append(json_file)
sample_data_l.append(img)
if drop_frame:
sample_json_l = sample_json_l[:len(sample_json_l) - (len(sample_json_l) % 3)]
drop_frame = False
continue
bpStep1 = DataProcess.BPapplication(n, f, f + 1, bpStep1) # 人，帧的bp估计,主相机rgb空间
bp_ak0_normal = bpStep1.T / bpStep1.T[2]
uv1_ak0_panel = np.dot(K0, bp_ak0_normal)
bpStep1_ak1 = np.dot(Rt10inv[:3, :3], bpStep1.T) + Rt10inv[:3, 3].reshape(3, 1)
bpStep1_ak1_normal = bpStep1_ak1 / bpStep1_ak1[2]
uv1_ak1_panel = np.dot(K1, bpStep1_ak1_normal)
bpStep1_ak2 = np.dot(Rt20inv[:3, :3], bpStep1.T) + Rt20inv[:3, 3].reshape(3, 1)
bpStep1_ak2_normal = bpStep1_ak2 / bpStep1_ak2[2]
uv1_ak2_panel = np.dot(K2, bpStep1_ak2_normal)
# 一帧三张loss加起来才是一帧的loss,21里挑15个
uv1_ak0_panel = np.delete(uv1_ak0_panel, [3, 4, 8, 15, 19, 20], axis=1)
uv1_ak1_panel = np.delete(uv1_ak1_panel, [3, 4, 8, 15, 19, 20], axis=1)
uv1_ak2_panel = np.delete(uv1_ak2_panel, [3, 4, 8, 15, 19, 20], axis=1)
# for uv in range(uv1_ak2_panel.shape[1]): # bp 投下来的
# u = int(round(uv1_ak0_panel[0, uv], 0))
# v = int(round(uv1_ak0_panel[1, uv], 0))
# cv2.circle(sample_data_l[-3], (u, v), 2, (0, 255, 0))
# u = int(round(uv1_ak1_panel[0, uv], 0))
# v = int(round(uv1_ak1_panel[1, uv], 0))
# cv2.circle(sample_data_l[-2], (u, v), 2, (0, 255, 0))
# u = int(round(uv1_ak2_panel[0, uv], 0))
# v = int(round(uv1_ak2_panel[1, uv], 0))
# cv2.circle(sample_data_l[-1], (u, v), 2, (0, 255, 0))
# cv2.imshow(f'ak0', sample_data_l[-3])
# cv2.imshow(f'ak1', sample_data_l[-2])
# cv2.imshow(f'ak2', sample_data_l[-1])
# cv2.waitKey(0)
variables = locals()
for v in range(3):
variables['slice_window%s' % v].append(variables['uv1_ak%s_panel' % v])
if len(sample_json_l) == 0:
return
filtered_uv = []
for i in range(len(slice_window0)):
filtered_uv.append(utils.BPmidFilter(
[slice_window0[max(i - 1, 0)], slice_window0[i], slice_window0[min(len(slice_window0) - 1, i + 1)]])[:2,
:])
filtered_uv.append(utils.BPmidFilter(
[slice_window1[max(i - 1, 0)], slice_window1[i], slice_window1[min(len(slice_window1) - 1, i + 1)]])[:2,
:])
filtered_uv.append(utils.BPmidFilter(
[slice_window2[max(i - 1, 0)], slice_window2[i], slice_window2[min(len(slice_window2) - 1, i + 1)]])[:2,
:])
gt = []
for l in range(len(sample_json_l)):
gtxy0 = np.zeros([2, 15])
gtxy1 = np.zeros([2, 15])
for idx in range(15):
if sample_json_l[l]['dots'][idx]['Label'].startswith('00'):
gtxy0[0, 0] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 0] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('01'):
gtxy0[0, 1] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 1] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('02'):
gtxy0[0, 2] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 2] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('05'):
gtxy0[0, 3] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 3] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('06'):
gtxy0[0, 4] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 4] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('07'):
gtxy0[0, 5] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 5] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('12'):
gtxy0[0, 6] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 6] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('13'):
gtxy0[0, 7] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 7] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('14'):
gtxy0[0, 8] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 8] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('18'):
gtxy0[0, 9] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 9] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('19'):
gtxy0[0, 10] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 10] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('20'):
gtxy0[0, 11] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 11] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('22'):
gtxy0[0, 12] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 12] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('23'):
gtxy0[0, 13] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 13] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('24'):
gtxy0[0, 14] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 14] = sample_json_l[l]['dots'][idx]['Point']['Y']
for idx in range(15, 30):
if sample_json_l[l]['dots'][idx]['Label'].startswith('00'):
gtxy1[0, 0] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 0] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('01'):
gtxy1[0, 1] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 1] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('02'):
gtxy1[0, 2] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 2] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('05'):
gtxy1[0, 3] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 3] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('06'):
gtxy1[0, 4] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 4] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('07'):
gtxy1[0, 5] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 5] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('12'):
gtxy1[0, 6] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 6] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('13'):
gtxy1[0, 7] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 7] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('14'):
gtxy1[0, 8] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 8] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('18'):
gtxy1[0, 9] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 9] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('19'):
gtxy1[0, 10] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 10] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('20'):
gtxy1[0, 11] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 11] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('22'):
gtxy1[0, 12] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 12] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('23'):
gtxy1[0, 13] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 13] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('24'):
gtxy1[0, 14] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 14] = sample_json_l[l]['dots'][idx]['Point']['Y']
gt.append((gtxy0 + gtxy1) / 2)
# gtxy2 = np.zeros([2, 15])
# for idx in range(30, 45):
# if sample_json_l[l]['dots'][idx]['Label'].startswith('00'):
# gtxy2[0, 0] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 0] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('01'):
# gtxy2[0, 1] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 1] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('02'):
# gtxy2[0, 2] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 2] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('05'):
# gtxy2[0, 3] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 3] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('06'):
# gtxy2[0, 4] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 4] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('07'):
# gtxy2[0, 5] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 5] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('12'):
# gtxy2[0, 6] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 6] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('13'):
# gtxy2[0, 7] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 7] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('14'):
# gtxy2[0, 8] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 8] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('18'):
# gtxy2[0, 9] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 9] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('19'):
# gtxy2[0, 10] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 10] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('20'):
# gtxy2[0, 11] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 11] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('22'):
# gtxy2[0, 12] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 12] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('23'):
# gtxy2[0, 13] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 13] = sample_json_l[l]['dots'][idx]['Point']['Y']
# elif sample_json_l[l]['dots'][idx]['Label'].startswith('24'):
# gtxy2[0, 14] = sample_json_l[l]['dots'][idx]['Point']['X']
# gtxy2[1, 14] = sample_json_l[l]['dots'][idx]['Point']['Y']
# gt.append((gtxy0+gtxy1+gtxy2)/3)
output = np.array(filtered_uv)
label = np.array(gt)
score = np.sqrt(np.sum((output - label) ** 2, axis=1))
print(np.sum(score) / score.shape[0] / score.shape[1])
@classmethod
def evalAK(cls):
frame_count = 100
sample_json_l = []
dir = 'E:/attitude/twice/'
name_list = os.listdir(dir)
drop_frame = False
ak_uv = []
Rt10 = np.loadtxt('./param/1_0_abt_Rt.txt')
Rt20 = np.loadtxt('./param/2_0_abt_Rt.txt')
Rt10inv = np.linalg.inv(Rt10)
Rt20inv = np.linalg.inv(Rt20)
for n in tqdm(name_list, desc=f'name processor:', leave=True, colour='green', ncols=100, position=0):
# if n != 'zjh':
# continue
for f in tqdm(range(20, frame_count), desc=f'frame processor:', leave=True, colour='red', ncols=100,
position=1):
for ak in range(3):
try:
json_file = json.load(open(f'{dir}{n}/image{ak}/DATA/image{f}.json', encoding='utf-8'))
except FileNotFoundError:
drop_frame = True
break
if json_file['dots'] is None or len(json_file['dots']) != 30:
drop_frame = True
break
sample_json_l.append(json_file)
if drop_frame:
sample_json_l = sample_json_l[:len(sample_json_l) - (len(sample_json_l) % 3)]
drop_frame = False
continue
ak_uv.append(DataProcess.calculateAKDistance2Label(0, f, n, Rt10, Rt20, Rt10inv, Rt20inv)[:2, :])
ak_uv.append(DataProcess.calculateAKDistance2Label(1, f, n, Rt10, Rt20, Rt10inv, Rt20inv)[:2, :])
ak_uv.append(DataProcess.calculateAKDistance2Label(2, f, n, Rt10, Rt20, Rt10inv, Rt20inv)[:2, :])
gt = []
for l in range(len(sample_json_l)):
gtxy0 = np.zeros([2, 15])
gtxy1 = np.zeros([2, 15])
for idx in range(15):
if sample_json_l[l]['dots'][idx]['Label'].startswith('00'):
gtxy0[0, 0] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 0] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('01'):
gtxy0[0, 1] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 1] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('02'):
gtxy0[0, 2] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 2] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('05'):
gtxy0[0, 3] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 3] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('06'):
gtxy0[0, 4] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 4] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('07'):
gtxy0[0, 5] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 5] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('12'):
gtxy0[0, 6] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 6] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('13'):
gtxy0[0, 7] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 7] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('14'):
gtxy0[0, 8] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 8] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('18'):
gtxy0[0, 9] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 9] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('19'):
gtxy0[0, 10] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 10] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('20'):
gtxy0[0, 11] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 11] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('22'):
gtxy0[0, 12] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 12] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('23'):
gtxy0[0, 13] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 13] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('24'):
gtxy0[0, 14] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy0[1, 14] = sample_json_l[l]['dots'][idx]['Point']['Y']
for idx in range(15, 30):
if sample_json_l[l]['dots'][idx]['Label'].startswith('00'):
gtxy1[0, 0] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 0] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('01'):
gtxy1[0, 1] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 1] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('02'):
gtxy1[0, 2] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 2] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('05'):
gtxy1[0, 3] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 3] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('06'):
gtxy1[0, 4] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 4] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('07'):
gtxy1[0, 5] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 5] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('12'):
gtxy1[0, 6] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 6] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('13'):
gtxy1[0, 7] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 7] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('14'):
gtxy1[0, 8] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 8] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('18'):
gtxy1[0, 9] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 9] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('19'):
gtxy1[0, 10] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 10] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('20'):
gtxy1[0, 11] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 11] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('22'):
gtxy1[0, 12] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 12] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('23'):
gtxy1[0, 13] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 13] = sample_json_l[l]['dots'][idx]['Point']['Y']
elif sample_json_l[l]['dots'][idx]['Label'].startswith('24'):
gtxy1[0, 14] = sample_json_l[l]['dots'][idx]['Point']['X']
gtxy1[1, 14] = sample_json_l[l]['dots'][idx]['Point']['Y']
gt.append((gtxy0 + gtxy1) / 2)
output = np.array(ak_uv)
label = np.array(gt)
score = np.sqrt(np.sum((output - label) ** 2, axis=1))
print(np.sum(score) / score.shape[0] / score.shape[1])
def checkLabel():
for n in range(3):
for i in range(20, 100):
json_fs = json.load(open(f'E:/attitude/twice/ls/image{n}/DATA/image{i}.json', encoding='utf-8'))
img = cv2.imread(f'E:/attitude/twice/ls/image{n}/image{i}.bmp')
for i in range(len(json_fs['dots'])):
cv2.circle(img, (int(json_fs['dots'][i]['Point']['X']), int(json_fs['dots'][i]['Point']['Y'])), 2,
[0, 255, 0])
cv2.imshow('img', img)
cv2.waitKey(0)
if __name__ == '__main__':
# 加载数据看一下标注的效果
# Evaluation.dataload()
# 与标注数据进行对比
# Evaluation.evalBP()
# Evaluation.evalAK()
checkLabel()