写一下blazepose的训练和评估人体姿态估计中瑜伽、舞蹈和 HIITde mAP,PCK的代码
时间: 2023-03-12 16:21:37 浏览: 88
我可以尝试为您提供一个训练和评估人体姿态估计中瑜伽、舞蹈和HIITde mAP,PCK的代码示例:# 导入必要的库
import numpy as np
from scipy.spatial.distance import cdist
from sklearn.metrics import average_precision_score# 定义用于计算mAP的函数
def compute_mAP(ground_truth, prediction):
# 计算ground truth和prediction之间的CDIST
dists = cdist(ground_truth, prediction) # 计算每一个ground truth对应的最接近的prediction
min_vals = np.min(dists, axis=1) # 计算mAP
mAP = average_precision_score(min_vals, min_vals) return mAP# 定义用于计算PCK的函数
def compute_PCK(ground_truth, prediction):
# 计算ground truth和prediction之间的CDIST
dists = cdist(ground_truth, prediction) # 计算每一个ground truth对应的最接近的prediction
min_vals = np.min(dists, axis=1) # 计算PCK
PCK = np.mean(min_vals < 0.2) return PCK# 计算瑜伽、舞蹈和HIITde mAP,PCK
yoga_mAP = compute_mAP(ground_truth_yoga, prediction_yoga)
dance_mAP = compute_mAP(ground_truth_dance, prediction_dance)
HIIT_mAP = compute_mAP(ground_truth_HIIT, prediction_HIIT)yoga_PCK = compute_PCK(ground_truth_yoga, prediction_yoga)
dance_PCK = compute_PCK(ground_truth_dance, prediction_dance)
HIIT_PCK = compute_PCK(ground_truth_HIIT, prediction_HIIT)