opencv 输出:未找到匹配项

bfrts1fy  于 2023-11-22  发布在  其他
关注(0)|答案(1)|浏览(160)

我正在开发一个Android应用程序,它将文本转换为相应的视频,我使用Python和Java。视频存储在Android Studio的assets目录中。模型访问asset目录但不读取数据。这是我的代码

#python
import cv2
import numpy as np
import spacy
import nltk
from nltk.corpus import wordnet
from itertools import chain
import os
import time



AssetManager = Python.getPlatform().getApplication().getAssets()



nltk.download('wordnet')



# Load the SpaCy language model
nlp = spacy.load("en_core_web_sm")



# Function to process text and concatenate videos
def process_text_and_generate_video(input_text, asset_manager, context):


word=''
# Tokenize using spacy
doc = nlp(input_text)



# Initialize a dictionary to map POS tags
pos_dict = {"NOUN": "noun", "VERB": "verb", "ADJ": "adj", "ADV": "adv", "PRON": "pron", "ADP": "adp"}



# Array to store video frames
frames = []



# Iterate through spacy's tokenized results
for token in doc:
    word = token.text
    pos_tag = token.pos_



    if pos_tag in pos_dict:
        try:
            # Copy the video file from assets to a temporary directory



          file_path = f"assets/{word}.mp4"
            print(f"Trying to open file: {file_path}")
            with asset_manager.open(file_path) as fd:
              


  temp_file_path = os.path.join(context.getCacheDir(), f"{word}.mp4")
                    with open(temp_file_path, 'wb') as out:
                        out.write(fd.read())

            # Read video frames into a numpy array
            cap = cv2.VideoCapture(temp_file_path)
            ret, frame = cap.read()
            if ret:
                frames.append(frame)
        except Exception as e:
            print(f"Exception occurred: {e}")

    else:
        # Get synonyms of the word
        synonyms = wordnet.synsets(word)
        synonyms = set(chain.from_iterable([word.lemma_names() for word in synonyms]))

        # Check if any synonym has a corresponding video in the directory
        for synonym in synonyms:
            try:
                # Copy the video file from assets to a temporary directory

                file_path = f"assets/{synonym}.mp4"
                print(f"Trying to open file: {file_path}")
                with asset_manager.open(file_path) as fd:
                    temp_file_path = os.path.join(context.getCacheDir(), f"{synonym}.mp4")
                    with open(temp_file_path, 'wb') as out:
                        out.write(fd.read())

                # Read video frames into a numpy array
                cap = cv2.VideoCapture(temp_file_path)
                ret, frame = cap.read()
                if ret:
                    frames.append(frame)
                break
            except Exception as e:
                print(f"Exception occurred: {e}")

# If no videos were found for the word or its synonyms, look for videos that match each letter of the word
if not frames:
    for letter in word.lower():  # Convert to lowercase because file names are in lowercase.
        try:
            # Copy the video file from assets to a temporary directory
            file_path = f"assets/{letter}.mp4"
            print(f"Trying to open file: {file_path}")
            with asset_manager.open(file_path) as fd:
                temp_file_path = os.path.join(context.getCacheDir(), f"{letter}.mp4")
                with open(temp_file_path, 'wb') as out:
                    out.write(fd.read())

            # Read video frames into a numpy array
            cap = cv2.VideoCapture(temp_file_path)
            ret, frame = cap.read()
            if ret:
                frames.append(frame)
        except Exception as e:
            print(f"Exception occurred: {e}")

# If no videos were found at all, print a message and return None.
if not frames:
    print("No match found")
    return None

# Concatenate video frames.
final_clip = np.concatenate(frames)

# Export the concatenated video using cv2.VideoWriter().
fourcc = cv2.VideoWriter_fourcc(*'MP4V')
height, width, _ = final_clip[0].shape  # get the width and height of the first frame

output_file_path = os.path.join(context.getFilesDir(), 'my_concatenation.mp4')

out = cv2.VideoWriter(output_file_path, fourcc, 30.0, (width, height))

for frame in final_clip:
    out.write(frame)

out.release()

time.sleep(1)
return output_file_path if os.path.exists(output_file_path) else None

字符串
...java

package com.example.myapplication_fyppsl;

import android.content.Context;

import android.os.AsyncTask;

import android.widget.MediaController;

import android.widget.Toast;

import android.widget.VideoView;

import com.chaquo.python.PyObject;

import com.chaquo.python.Python;

import java.io.IOException;

public class VideoProcessingTask extends AsyncTask<String, Void, String> {

    private VideoView videoView;

    private Context context;

    public VideoProcessingTask(VideoView videoView,Context context) {

        this.videoView = videoView;

        this.context = context;

    }

    @Override

    protected String doInBackground(String... strings) {

        String input = strings[0];

        Python py = Python.getInstance();

        PyObject pyf = py.getModule("displayAnimation");

        try {

            String[] files = context.getAssets().list("");

            for(String name : files) {

                System.out.println("File : " + name);

            }

        } catch (IOException e) {

            e.printStackTrace();

        }

        // pass the AssetManager and get back the path of created file.

        PyObject obj = pyf.callAttr("process_text_and_generate_video", input, context.getAssets(), context);

        // Check if obj is null before calling toString()

        return obj == null ? null : obj.toString();

    }

    @Override

    protected void onPostExecute(String result) {

        super.onPostExecute(result);

        // Check if result is None before trying to set the video path

        if (result == null) {

            Toast.makeText(context, "No videos found for your input.", Toast.LENGTH_SHORT).show();

            return;

        }

        // Set the path of the Video or URI from result of doInBackground method.

        videoView.setVideoPath(result);

        // Create a MediaController and attach it to the VideoView

        MediaController mediaController = new MediaController(context);

        mediaController.setAnchorView(videoView);

        // Attach the MediaController to the VideoView

        videoView.setMediaController(mediaController);

        // Start the VideoView

        videoView.start();

    }

}


我试了很多方法来找出出了什么问题,但我仍然无法找到它。
1.检查所有权限
1.路径
1.视频格式
1.视频标题

  1. Gradle配置
pgky5nke

pgky5nke1#

在Java中,零参数InputStream.read()方法只返回单个字节,而不是整个文件。您可以使用如下所示的助手函数:

from java import jarray, jbyte

def read_stream(stream):
    block = jarray(jbyte)(1024 * 1024)
    blocks = []
    while True:
        bytes_read = stream.read(block)
        if bytes_read == -1:
            return b"".join(blocks)
        else:
            blocks.append(bytes(block)[:bytes_read])

字符串
或者,你可以把这些文件放在Python源目录中,而不是assets目录中,并把它们作为普通文件打开,如下所示:

from os.path import dirname, join
filename = join(dirname(__file__), "filename.txt")
with open(filename, "rb") as f:
    ...

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