outv=cv2.VideoWriter("Tracked-"+str(arg['video']),cv2.VideoWriter_fourcc(*'MP4V'),int(cap.get(5)),(int(cap.get(3)),int(cap.get(4))))
时间: 2024-04-24 20:24:58 浏览: 21
根据你提供的代码,你正在使用OpenCV创建一个视频写入器(VideoWriter)来保存跟踪结果。在这里,你使用的是MP4V编解码器来设置视频写入器的编码格式。
然而,根据错误信息,该编解码器标签可能不被支持,导致无法创建视频写入器。你可以尝试更换编解码器标签来解决这个问题。例如,你可以尝试使用"mp4v"作为编解码器标签:
```python
outv = cv2.VideoWriter("Tracked-" + str(arg['video']), cv2.VideoWriter_fourcc(*'mp4v'), int(cap.get(5)), (int(cap.get(3)), int(cap.get(4))))
```
这里使用`cv2.VideoWriter_fourcc(*'mp4v')`来设置编解码器为"mp4v"。这样应该可以解决编解码器不支持的问题。如果问题仍然存在,你可能需要安装其他编解码器或尝试其他的编解码器标签。
相关问题
将下面matlab代码function [channel] = preRun(acqResults, settings)%% Initialize all channels ================================================ channel = []; % Clear, create the structure channel.PRN = 0; % PRN number of the tracked satellite channel.acquiredFreq = 0; % Used as the center frequency of the NCO channel.codePhase = 0; % Position of the C/A start channel.codeFreq = 0; % Used as the center frequency of the code NCO channel.status = '-'; % Mode/status of the tracking channel % "-" - "off" - no signal to track % "T" - Tracking state %--- Copy initial data to all channels ------------------------------------ channel = repmat(channel, 1, settings.numberOfChannels); %% Copy acquisition results =============================================== %--- Sort peaks to find strongest signals, keep the peak index information [~, PRNindexes] = sort(acqResults.peakMetric, 2, 'descend'); %--- Load information about each satellite -------------------------------- % Maximum number of initialized channels is number of detected signals, but % not more as the number of channels specified in the settings. for ii = 1:min([settings.numberOfChannels, sum(acqResults.carrFreq ~= 0)]) channel(ii).PRN = PRNindexes(ii); channel(ii).acquiredFreq = acqResults.carrFreq(PRNindexes(ii)); channel(ii).codePhase = acqResults.codePhase(PRNindexes(ii)); channel(ii).codeFreq = settings.codeFreqBasis + ... (channel(ii).acquiredFreq - settings.IF)/... settings.carrFreqBasis * settings.codeFreqBasis; % Set tracking into mode (there can be more modes if needed e.g. pull-in) channel(ii).status = 'T'; end转成python
以下是将该 MATLAB 代码转换为 Python 的代码:
```python
import numpy as np
def preRun(acqResults, settings):
# Initialize all channels
channel = {}
channel['PRN'] = 0
channel['acquiredFreq'] = 0
channel['codePhase'] = 0
channel['codeFreq'] = 0
channel['status'] = '-'
# Copy initial data to all channels
channel = [channel] * settings['numberOfChannels']
# Copy acquisition results
# Sort peaks to find strongest signals, keep the peak index information
PRNindexes = np.argsort(acqResults['peakMetric'])[::-1]
# Load information about each satellite
# Maximum number of initialized channels is number of detected signals, but
# not more as the number of channels specified in the settings.
for ii in range(min(settings['numberOfChannels'], sum(acqResults['carrFreq'] != 0))):
channel[ii]['PRN'] = PRNindexes[ii]
channel[ii]['acquiredFreq'] = acqResults['carrFreq'][PRNindexes[ii]]
channel[ii]['codePhase'] = acqResults['codePhase'][PRNindexes[ii]]
channel[ii]['codeFreq'] = settings['codeFreqBasis'] + \
(channel[ii]['acquiredFreq'] - settings['IF']) / \
settings['carrFreqBasis'] * settings['codeFreqBasis']
# Set tracking into mode (there can be more modes if needed e.g. pull-in)
channel[ii]['status'] = 'T'
return channel
```
for key,value in tracked_vehicle_gifs.items(): if len(tracked_vehicle_gifs[key]) > 0: imageio.mimsave( f"predict/{national_id}/vehicle_{key}.gif", tracked_vehicle_gifs[key], fps=25) 如何实现gif压缩呢
要实现 GIF 图像的压缩可以使用 Pillow 库中的 optimize() 方法。该方法可以对图像进行优化,减小文件大小,但会影响图像质量。示例代码如下:
```
from PIL import Image
for key, value in tracked_vehicle_gifs.items():
if len(tracked_vehicle_gifs[key]) > 0:
images = [Image.fromarray(img) for img in tracked_vehicle_gifs[key]]
images[0].save(f"predict/{national_id}/vehicle_{key}.gif", save_all=True, append_images=images[1:], optimize=True, quality=85, duration=40)
```
在此示例代码中,我们使用了 Pillow 库中的 Image.fromarray() 方法将 numpy 数组转换为 PIL 图像对象,然后使用 save() 方法将图像保存为 GIF 格式。在 save() 方法中,我们设置了 save_all=True 来保存所有帧,并使用 append_images 参数将所有帧添加到 GIF 图像中。同时,我们设置了 optimize=True 来对图像进行优化,减小文件大小,quality=85 来设置图像质量,duration=40 来设置每帧的显示时间,以此来生成 GIF 图像。
相关推荐
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![gz](https://img-home.csdnimg.cn/images/20210720083447.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)