嗨，我有一个问题，我的代码变成了可执行文件，屏幕上会出现一条错误消息，有人知道如何修复此错误吗？这是针对某些身体跟踪软件的，真正的原因是 cv2，但我需要一些帮助使其成为可执行文件，以便打开时不会出现错误消息非常感谢雅各布，请帮助
[1]：https://i.sstatic.net/LKJ5r.png
import cv2
import mediapipe as mp
import pandas as pd
from ast import literal_eval
from tkinter import *
from tkinter import filedialog
import numpy
root = Tk()
#create lebel widget
ScreenLabel = Label(root, text="Body tracking")
#put on screen
root.geometry("500x450+700+200")
#def open():
#global track
#track = filedialog.askopenfilename(initialdir="/dowloads", title="select A File", filetypes=([("all files","*.*")]))
e = Entry(root, width=100)
e.pack()
def tracking():
mp_drawing = mp.solutions.drawing_utils
mp_pose = mp.solutions.pose
video_file_path = e.get()
cap = cv2.VideoCapture(video_file_path)
coordinates_list = []
frame_width = int(cap.get(3))
frame_height = int(cap.get(4))
size = (frame_width, frame_height)
fps = 30
v_split = video_file_path.split(".")
v_split[-2] = v_split[-2] + "_processed"
prep_vid_file_path = ".".join(v_split)
video_saver = cv2.VideoWriter(prep_vid_file_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, size)
keypoints_list = ['CENTER_HEAD',
'LEFT_SHOULDER',
'RIGHT_SHOULDER',
'LEFT_ELBOW',
'RIGHT_ELBOW',
'LEFT_WRIST',
'RIGHT_WRIST',
'LEFT_PINKY',
'RIGHT_PINKY',
'LEFT_INDEX',
'RIGHT_INDEX',
'LEFT_THUMB',
'RIGHT_THUMB',
'LEFT_HIP',
'RIGHT_HIP',
'LEFT_KNEE',
'RIGHT_KNEE',
'LEFT_ANKLE',
'RIGHT_ANKLE',
'LEFT_HEEL',
'RIGHT_HEEL',
'LEFT_FOOT_INDEX',
'RIGHT_FOOT_INDEX']
with mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5) as pose:
while True:
ret, frame = cap.read()
if ret == False:
cap.release()
video_saver.release()
cv2.destroyAllWindows()
break
image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
image.flags.writeable = False
results = pose.process(image)
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
timestamp_name = str(cap.get(cv2.CAP_PROP_POS_MSEC))
try:
landmarks = results.pose_landmarks.landmark
CENTER_HEAD = (landmarks[mp_pose.PoseLandmark.NOSE.value].x, landmarks[mp_pose.PoseLandmark.NOSE.value].y, landmarks[mp_pose.PoseLandmark.NOSE.value].z)
LEFT_SHOULDER = (landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].x, landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].y, landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].z)
RIGHT_SHOULDER = (landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].x, landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].y, landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].z)
LEFT_ELBOW = (landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].x, landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].y, landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].z)
RIGHT_ELBOW = (landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].x, landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].y, landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].z)
LEFT_WRIST = (landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].x, landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].y, landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].z)
RIGHT_WRIST = (landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].x, landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].y, landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].z)
LEFT_PINKY = (landmarks[mp_pose.PoseLandmark.LEFT_PINKY.value].x, landmarks[mp_pose.PoseLandmark.LEFT_PINKY.value].y, landmarks[mp_pose.PoseLandmark.LEFT_PINKY.value].z)
RIGHT_PINKY = (landmarks[mp_pose.PoseLandmark.RIGHT_PINKY.value].x, landmarks[mp_pose.PoseLandmark.RIGHT_PINKY.value].y, landmarks[mp_pose.PoseLandmark.RIGHT_PINKY.value].z)
LEFT_INDEX = (landmarks[mp_pose.PoseLandmark.LEFT_INDEX.value].x, landmarks[mp_pose.PoseLandmark.LEFT_INDEX.value].y, landmarks[mp_pose.PoseLandmark.LEFT_INDEX.value].z)
RIGHT_INDEX = (landmarks[mp_pose.PoseLandmark.RIGHT_INDEX.value].x, landmarks[mp_pose.PoseLandmark.RIGHT_INDEX.value].y, landmarks[mp_pose.PoseLandmark.RIGHT_INDEX.value].z)
LEFT_THUMB = (landmarks[mp_pose.PoseLandmark.LEFT_THUMB.value].x, landmarks[mp_pose.PoseLandmark.LEFT_THUMB.value].y, landmarks[mp_pose.PoseLandmark.LEFT_THUMB.value].z)
RIGHT_THUMB = (landmarks[mp_pose.PoseLandmark.RIGHT_THUMB.value].x, landmarks[mp_pose.PoseLandmark.RIGHT_THUMB.value].y, landmarks[mp_pose.PoseLandmark.RIGHT_THUMB.value].z)
LEFT_HIP = (landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].x, landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].y, landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].z)
RIGHT_HIP = (landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].x, landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].y, landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].z)
LEFT_KNEE = (landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].x, landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].y, landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].z)
RIGHT_KNEE = (landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].x, landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].y, landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].z)
LEFT_ANKLE = (landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].x, landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].y, landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].z)
RIGHT_ANKLE = (landmarks[mp_pose.PoseLandmark.RIGHT_ANKLE.value].x, landmarks[mp_pose.PoseLandmark.RIGHT_ANKLE.value].y, landmarks[mp_pose.PoseLandmark.RIGHT_ANKLE.value].z)
LEFT_HEEL = (landmarks[mp_pose.PoseLandmark.LEFT_HEEL.value].x, landmarks[mp_pose.PoseLandmark.LEFT_HEEL.value].y, landmarks[mp_pose.PoseLandmark.LEFT_HEEL.value].z)
RIGHT_HEEL = (landmarks[mp_pose.PoseLandmark.RIGHT_HEEL.value].x, landmarks[mp_pose.PoseLandmark.RIGHT_HEEL.value].y, landmarks[mp_pose.PoseLandmark.RIGHT_HEEL.value].z)
LEFT_FOOT_INDEX = (landmarks[mp_pose.PoseLandmark.LEFT_FOOT_INDEX.value].x, landmarks[mp_pose.PoseLandmark.LEFT_FOOT_INDEX.value].y, landmarks[mp_pose.PoseLandmark.LEFT_FOOT_INDEX.value].z)
RIGHT_FOOT_INDEX = (landmarks[mp_pose.PoseLandmark.RIGHT_FOOT_INDEX.value].x, landmarks[mp_pose.PoseLandmark.RIGHT_FOOT_INDEX.value].y, landmarks[mp_pose.PoseLandmark.RIGHT_FOOT_INDEX.value].z)
coordinates_list.append(str(timestamp_name) + " : " + str({'CENTER_HEAD':CENTER_HEAD,
'LEFT_SHOULDER':LEFT_SHOULDER,
'RIGHT_SHOULDER':RIGHT_SHOULDER,
'LEFT_ELBOW':LEFT_ELBOW,
'RIGHT_ELBOW':RIGHT_ELBOW,
'LEFT_WRIST':LEFT_WRIST,
'RIGHT_WRIST':RIGHT_WRIST,
'LEFT_PINKY':LEFT_PINKY,
'RIGHT_PINKY':RIGHT_PINKY,
'LEFT_INDEX':LEFT_INDEX,
'RIGHT_INDEX':RIGHT_INDEX,
'LEFT_THUMB':LEFT_THUMB,
'RIGHT_THUMB':RIGHT_THUMB,
'LEFT_HIP':LEFT_HIP,
'RIGHT_HIP':RIGHT_HIP,
'LEFT_KNEE':LEFT_KNEE,
'RIGHT_KNEE':RIGHT_KNEE,
'LEFT_ANKLE':LEFT_ANKLE,
'RIGHT_ANKLE':RIGHT_ANKLE,
'LEFT_HEEL':LEFT_HEEL,
'RIGHT_HEEL':RIGHT_HEEL,
'LEFT_FOOT_INDEX':LEFT_FOOT_INDEX,
'RIGHT_FOOT_INDEX':RIGHT_FOOT_INDEX}))
except:
pass
mp_drawing.draw_landmarks(image, results.pose_landmarks, mp_pose.POSE_CONNECTIONS)
video_saver.write(image)
cv2.imshow("Video Feed", image)
cv2.waitKey(1)
v_split = video_file_path.split(".")
v_split[-1] = "txt"
v_split[-2] = v_split[-2] + "_coordinates"
coordinates_file_path = ".".join(v_split)
with open(coordinates_file_path, "w") as f:
f.write("\n".join(coordinates_list))
v_split = video_file_path.split(".")
v_split[-1] = "xlsx"
v_split[-2] = v_split[-2] + "_excel"
coordinates_excel_path = ".".join(v_split)
def get_vals(x):
vals = []
for i in x:
for j in i:
vals.append(j)
return vals
df = pd.DataFrame(coordinates_list)
df["frame"] = df[0].apply(lambda x: x.split(" : ")[0])
df[0] = df[0].apply(lambda x: get_vals(literal_eval(x.split(" : ")[1]).values()))
df_columns = []
mapper_dict = {0:"x", 1:"y", 2:"z"}
for keypoint in keypoints_list:
for i in range(0,3):
df_columns.append(keypoint+"_"+mapper_dict.get(i))
df = pd.concat([df["frame"], pd.DataFrame(df[0].to_list(), columns=df_columns)], axis=1)
df.to_excel(coordinates_excel_path, index=False)
#open_btn = Button( root, text="open File", command=open, borderwidth=0).pack()
ExportButton = Button(root, text="Track", command=tracking ,borderwidth=0 ,fg="blue")
ExportButton.pack()
root.mainloop()