所以我正在从git hub开始这个手语手势识别python项目。我按照读取文件并保存(在项目的根文件夹中)所有数据集文件在两个单独的文件夹中,名为train_videos和test_videos,用于机器学习。
现在我收到以下错误:
usage: video-to-frame.py [-h] gesture_folder target_folder
video-to-frame.py: error: the following arguments are required: gesture_folder, target_folder
以下是“video-to-frame.py”文件中的代码。我无法弄清楚在哪里放置我的数据集fodlers的路径。
import cv2
import os
import pickle
from os.path import join, exists
import handsegment as hs
import argparse
from tqdm import tqdm
hc = []
def convert(gesture_folder, target_folder):
rootPath = os.getcwd()
majorData = os.path.abspath(target_folder)
if not exists(majorData):
os.makedirs(majorData)
gesture_folder = os.path.abspath(gesture_folder)
os.chdir(gesture_folder)
gestures = os.listdir(os.getcwd())
print("Source Directory containing gestures: %s" % gesture_folder)
print("Destination Directory containing frames: %s\n" % majorData)
for gesture in tqdm(gestures, unit='actions', ascii=True):
gesture_path = os.path.join(gesture_folder, gesture)
os.chdir(gesture_path)
gesture_frames_path = os.path.join(majorData, gesture)
if not os.path.exists(gesture_frames_path):
os.makedirs(gesture_frames_path)
videos = os.listdir(os.getcwd())
videos = [video for video in videos if(os.path.isfile(video))]
for video in tqdm(videos, unit='videos', ascii=True):
name = os.path.abspath(video)
cap = cv2.VideoCapture(name) # capturing input video
frameCount = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
lastFrame = None
os.chdir(gesture_frames_path)
count = 0
# assumption only first 200 frames are important
while count < 201:
ret, frame = cap.read() # extract frame
if ret is False:
break
framename = os.path.splitext(video)[0]
framename = framename + "_frame_" + str(count) + ".jpeg"
hc.append([join(gesture_frames_path, framename), gesture, frameCount])
if not os.path.exists(framename):
frame = hs.handsegment(frame)
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
lastFrame = frame
cv2.imwrite(framename, frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
count += 1
# repeat last frame until we get 200 frames
while count < 201:
framename = os.path.splitext(video)[0]
framename = framename + "_frame_" + str(count) + ".jpeg"
hc.append([join(gesture_frames_path, framename), gesture, frameCount])
if not os.path.exists(framename):
cv2.imwrite(framename, lastFrame)
count += 1
os.chdir(gesture_path)
cap.release()
cv2.destroyAllWindows()
os.chdir(rootPath)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Extract Individual Frames from gesture videos.')
parser.add_argument('gesture_folder', help='Path to folder containing folders of videos of different gestures.')
parser.add_argument('target_folder', help='Path to folder where extracted frames should be kept.')
args = parser.parse_args()
convert(args.gesture_folder, args.target_folder)
qazxsw poi是项目github存储库的链接。
任何帮助将不胜感激。
所以我对python相对比较新,但你共享的代码片段是一个带有gesture_folder和target_folder输入的函数,所以说你需要看看在整个代码中调用convert()函数的位置然后检查输入是什么在函数调用内。
因此,如果它看起来像这样,那么替换函数调用中的路径
This
但如果它看起来像这样
convert("C:\\User\gesturefolder","C:\\User\targetfolder" )
然后你需要向后工作并找到声明gf和tf的位置并替换那里的路径
编辑:
convert(gf,tf)
如果用路径替换它不起作用,那么尝试用\或/替换所有反斜杠
Aaditi:
所以我查看了Github,看起来在调用python代码时提供了路径
parser.add_argument('C:\\User\gesturefolder', help='Path to folder containing folders of videos of different gestures.')
parser.add_argument('C:\\User\targetfolder', help='Path to folder where extracted frames should be kept.')
你尝试过这样的事吗?
video-to-frame.py [-h] gesture_folder target_folder
Aadita:
我能想到的最后一个建议是,因为你只是直接运行代码而不是调用它然后只是在导入和hc之间的代码开头定义路径
gesture_folder="C:\\..." #gesture folder path
target_folder="C:\\..." #target folder path
video-to-frame.py [-h] gesture_folder target_folder