视频分类用OpenCV写视频出错
Error in Writing Video with OpenCV for Video Classification
我正在构建与此视频相同的视频分类模型:https://www.youtube.com/watch?v=l8XQsxlGxiY&list=PLxefhmF0pcPl_v-lLsqF3drP6NOoSYJR0&index=9
该模型预测视频中显示的是哪种运动:网球、游泳或拳击。
我已经建立了我的模型并且准确率达到了 96%。
现在,我有一个示例视频来测试我的模型。
from keras.models import load_model
from collections import deque
import numpy as np
import pickle
import cv2
model = load_model(r"C:\Users\yudishteer.c\Desktop\VideoClassification\video_classification_model\videoclassificationModel")
lb = pickle.loads(open(r"C:\Users\yudishteer.c\Desktop\VideoClassification\video_classification_model\videoclassificationBinarizer.pickle", "rb").read())
outputvideo = r"C:\Users\yudishteer.c\Desktop\VideoClassification\video_classification_model\outputvideo\demo_output.avi"
mean = np.array([123.68, 116.779, 103.939], dtype = "float32")
Queue = deque(maxlen=128)
capture_video=cv2.VideoCapture(r"C:\Users\yudishteer.c\Desktop\VideoClassification\video_classification_model\demo_video.mp4")
writer = None
(Width, Height) = (None, None)
while True:
(taken, frame) = capture_video.read()
if not taken:
break
if Width is None or Height is None:
(Width, Height) = frame.shape[:2]
output = frame.copy()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
frame = cv2.resize(frame, (224,224)).astype("float32")
frame -= mean
preds = model.predict(np.expand_dims(frame, axis=0))[0]
Queue.append(preds)
results = np.array(Queue).mean(axis = 0)
i = np.argmax(results)
label = lb.classes_[i]
text = "The game is {}".format(label)
cv2.putText(output, text, (45,60), cv2.FONT_HERSHEY_SIMPLEX, 1.25, (255,0,0),5)
if writer is None:
fourcc = cv2.VideoWriter_fourcc(*'MJPG')
writer = cv2.VideoWriter('demo_output.mp4', fourcc, 10, (Width, Height), True)
writer.write(output)
cv2.imshow("In progress", output)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
print("Finalizing.......")
writer.release()
capture_video.release()
# Closes all the frames
cv2.destroyAllWindows()
当我 运行 上面的代码时,我可以看到它被正确分类了。
这是演示视频 (demo_video.mp4) 打开后,我可以看到视频顶部显示的是游泳、网球或拳击,具体取决于所显示的运动项目。
但是,因为我有一个:writer = cv2.VideoWriter('demo_output.mp4', fourcc, 10, (Width, Height), True)
当我打开 demo_output.mp4 甚至 avi 时,我得到:
error
有人可以帮忙解决问题吗?
谢谢!
您混合了 Width
和 Height
...
而不是(Width, Height) = frame.shape[:2]
,应该是:
(Height, Width) = frame.shape[:2]
在我的系统中,我收到以下警告:
OpenCV: FFMPEG: tag 0x47504a4d/'MJPG' is not supported with codec id 7 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'
结果是黑色视频。
codec/container 作品的以下组合之一:
'MJPG'
FOURCC 和 AVI 容器:
fourcc = cv2.VideoWriter_fourcc(*'MJPG')
writer = cv2.VideoWriter('demo_output.avi', fourcc, 10, (Width, Height), True)
'mp4v'
FOURCC 和 MP4 容器:
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
writer = cv2.VideoWriter('demo_output.mp4', fourcc, 10, (Width, Height), True)
我正在构建与此视频相同的视频分类模型:https://www.youtube.com/watch?v=l8XQsxlGxiY&list=PLxefhmF0pcPl_v-lLsqF3drP6NOoSYJR0&index=9
该模型预测视频中显示的是哪种运动:网球、游泳或拳击。
我已经建立了我的模型并且准确率达到了 96%。 现在,我有一个示例视频来测试我的模型。
from keras.models import load_model
from collections import deque
import numpy as np
import pickle
import cv2
model = load_model(r"C:\Users\yudishteer.c\Desktop\VideoClassification\video_classification_model\videoclassificationModel")
lb = pickle.loads(open(r"C:\Users\yudishteer.c\Desktop\VideoClassification\video_classification_model\videoclassificationBinarizer.pickle", "rb").read())
outputvideo = r"C:\Users\yudishteer.c\Desktop\VideoClassification\video_classification_model\outputvideo\demo_output.avi"
mean = np.array([123.68, 116.779, 103.939], dtype = "float32")
Queue = deque(maxlen=128)
capture_video=cv2.VideoCapture(r"C:\Users\yudishteer.c\Desktop\VideoClassification\video_classification_model\demo_video.mp4")
writer = None
(Width, Height) = (None, None)
while True:
(taken, frame) = capture_video.read()
if not taken:
break
if Width is None or Height is None:
(Width, Height) = frame.shape[:2]
output = frame.copy()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
frame = cv2.resize(frame, (224,224)).astype("float32")
frame -= mean
preds = model.predict(np.expand_dims(frame, axis=0))[0]
Queue.append(preds)
results = np.array(Queue).mean(axis = 0)
i = np.argmax(results)
label = lb.classes_[i]
text = "The game is {}".format(label)
cv2.putText(output, text, (45,60), cv2.FONT_HERSHEY_SIMPLEX, 1.25, (255,0,0),5)
if writer is None:
fourcc = cv2.VideoWriter_fourcc(*'MJPG')
writer = cv2.VideoWriter('demo_output.mp4', fourcc, 10, (Width, Height), True)
writer.write(output)
cv2.imshow("In progress", output)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
print("Finalizing.......")
writer.release()
capture_video.release()
# Closes all the frames
cv2.destroyAllWindows()
当我 运行 上面的代码时,我可以看到它被正确分类了。 这是演示视频 (demo_video.mp4) 打开后,我可以看到视频顶部显示的是游泳、网球或拳击,具体取决于所显示的运动项目。
但是,因为我有一个:writer = cv2.VideoWriter('demo_output.mp4', fourcc, 10, (Width, Height), True)
当我打开 demo_output.mp4 甚至 avi 时,我得到: error
有人可以帮忙解决问题吗? 谢谢!
您混合了 Width
和 Height
...
而不是(Width, Height) = frame.shape[:2]
,应该是:
(Height, Width) = frame.shape[:2]
在我的系统中,我收到以下警告:
OpenCV: FFMPEG: tag 0x47504a4d/'MJPG' is not supported with codec id 7 and format 'mp4 / MP4 (MPEG-4 Part 14)' OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'
结果是黑色视频。
codec/container 作品的以下组合之一:
'MJPG'
FOURCC 和 AVI 容器:fourcc = cv2.VideoWriter_fourcc(*'MJPG') writer = cv2.VideoWriter('demo_output.avi', fourcc, 10, (Width, Height), True)
'mp4v'
FOURCC 和 MP4 容器:fourcc = cv2.VideoWriter_fourcc(*'mp4v') writer = cv2.VideoWriter('demo_output.mp4', fourcc, 10, (Width, Height), True)