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Sur d’autres sites (2727)

  • Python program which reads and extracts specific information from JSON file generated by FFPROBE

    3 février 2017, par Georgе Stoyanov

    I want to create a simple Python script, which runs a custom ffprobe script and then extracts some specific information from the generated JSON file. So the ffprobe command is :

    ffprobe -v quiet -print_format json -show_format -show_streams example.mp4 > output.json

    This command is extracting the video specific information into output.json file. Then I want to read the file and extract some specific information out of it. For example the JSON file has the following format :

    {
    
    "streams": [
    
        {
    
            "index": 0,
    
            "codec_name": "h264",
    
            "codec_long_name": "H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10",
    
            "profile": "High 4:2:2 Intra",
    
            "codec_type": "video",
    
            "codec_time_base": "1/100",
    
            "codec_tag_string": "[0][0][0][0]",
    
            "codec_tag": "0x0000",
    
            "width": 3840,
    
            "height": 2160,
    
            "coded_width": 3840,
    
            "coded_height": 2160,
    
            "has_b_frames": 0,
    
            "sample_aspect_ratio": "1:1",
    
            "display_aspect_ratio": "16:9",
    
            "pix_fmt": "yuv422p10le",
    
            "level": 52,
    
            "color_range": "tv",
    
            "color_space": "bt709",
    
            "color_transfer": "bt709",
    
            "color_primaries": "bt709",
    
            "chroma_location": "left",
    
            "field_order": "progressive",
    
            "refs": 1,
    
            "is_avc": "false",
    
            "nal_length_size": "0",
    
            "r_frame_rate": "50/1",
    
            "avg_frame_rate": "50/1",
    
            "time_base": "1/50",
    
            "start_pts": 0,
    
            "start_time": "0.000000",
    
            "duration_ts": 15000,
    
            "duration": "300.000000",
    
            "bits_per_raw_sample": "10",
    
            "disposition": {
    
                "default": 0,
    
                "dub": 0,
    
                "original": 0,
    
                "comment": 0,
    
                "lyrics": 0,
    
                "karaoke": 0,
    
                "forced": 0,
    
                "hearing_impaired": 0,
    
                "visual_impaired": 0,
    
                "clean_effects": 0,
    
                "attached_pic": 0,
    
                "timed_thumbnails": 0
    
            },
    
            "tags": {
    
                "file_package_umid": "0x060A2B340101010501010D0013EC94F152947134B6EC94F10052947134B6EC01",
    
                "file_package_name": "Source Package"
    
            }
    
        }
    
    ],
    
    "format": {
    
        "filename": "300sec.mxf",
    
        "nb_streams": 1,
    
        "nb_programs": 0,
    
        "format_name": "mxf",
    
        "format_long_name": "MXF (Material eXchange Format)",
    
        "start_time": "0.000000",
    
        "duration": "300.000000",
    
        "size": "16772788991",
    
        "bit_rate": "447274373",
    
        "probe_score": 100,
    
        "tags": {
    
            "uid": "adab4424-2f25-4dc7-92ff-29bd000c0000",
    
            "generation_uid": "adab4424-2f25-4dc7-92ff-29bd000c0001",
    
            "company_name": "FFmpeg",
    
            "product_name": "OP1a Muxer",
    
            "product_version": "57.66.101",
    
            "product_uid": "adab4424-2f25-4dc7-92ff-29bd000c0002",
    
            "modification_date": "0-01-02T00:00:00.000000Z",
    
            "material_package_umid": "0x060A2B340101010501010D0013EC94F152947134B6EC94F10052947134B6EC00",
    
            "timecode": "00:00:00:00"
    
        }
    
    }
    
}

    Perfect will be if the Python script runs and then asks you for the path to the input file.

    Unfortunately I have very little experience with Python, but it comes pre-installed on my system and I want to use it. The other option is to write a bash script doing the same. Any suggestions will be greatly appreciated.

    So far I have figured out how I can open the JSON file and to extract data from it using :

    import json
    

    
with open('output.json') as json_data:
    
    data = json.load(json_data)
    
    json_data.close()
    
    print(data["streams"][0]["codec_name"])
    
    print(data["streams"][0]["profile"])

  • Convert ts m3u8 to png FFMPEG

    10 novembre 2019, par Kerbin Lozada

    I recently saw a movie website that used m3u8 but the video files instead of being .ts are .png and when I download a file it is an image instead of a video with ffmpeg I extracted the information from the file and this it was what came out

    video url : VIDEO EN PNG

    {
    
"streams": [
    
    {
    
        "index": 0,
    
        "codec_name": "png",
    
        "codec_long_name": "PNG (Portable Network Graphics) image",
    
        "codec_type": "video",
    
        "codec_time_base": "0/1",
    
        "codec_tag_string": "
    

    
[0][0][0]",
    

    

    
        "codec_tag": "0x0000",
    
        "width": 1,
    
        "height": 1,
    
        "coded_width": 1,
    
        "coded_height": 1,
    
        "has_b_frames": 0,
    
        "sample_aspect_ratio": "1:1",
    
        "display_aspect_ratio": "1:1",
    
        "pix_fmt": "rgb24",
    
        "level": -99,
    
        "color_range": "pc",
    
        "refs": 1,
    
        "r_frame_rate": "25/1",
    
        "avg_frame_rate": "0/0",
    
        "time_base": "1/25",
    
        "disposition": {
    
            "default": 0,
    
            "dub": 0,
    
            "original": 0,
    
            "comment": 0,
    
            "lyrics": 0,
    
            "karaoke": 0,
    
            "forced": 0,
    
            "hearing_impaired": 0,
    
            "visual_impaired": 0,
    
            "clean_effects": 0,
    
            "attached_pic": 0,
    
            "timed_thumbnails": 0
    
        }
    
    }
    
],
    
"format": {
    
    "filename": "84a9c6afffed621b4c2e684dcd4cd9b34a.ts_5daadc5f87309.mp4",
    
    "nb_streams": 1,
    
    "nb_programs": 0,
    
    "format_name": "png_pipe",
    
    "format_long_name": "piped png sequence",
    
    "size": "3025296",
    
    "probe_score": 99
    
}

    I am trying to convert a video into png and tried some way with ffmpeg but since I am very new to ffmpeg I have not managed to convert a video in m3u8 list with image format and at the same time they are video format.

    Example the file for download

  • JSON Python check for data

    3 mars 2017, par Georgе Stoyanov

    So I am trying to write a script which is looking into a JSON file and check if stream with index 1 exists. Right now my program doesn’t do that. Here is the program itself. I want to check if (data["streams"][1]) exists and in case it exists to print the codec, sample rate and the bitrate of all available audio streams.

    #!/usr/bin/env python
    
import subprocess
    
import json
    
import os.path
    

    
# Saving the file path and the name path into input_file
    

    
input_file = raw_input("Please enter the input file path: ")
    

    
# Loop until the user enters a valid input file
    

    
while os.path.isfile(input_file) == False:
    
        print "Please try again, the specified file / path don't exist!"
    
        input_file = raw_input("Please enter the input file path again: ")
    

    
# Execution of the ffprobe command to list the general statistics of the file. I have separated both scripts because the script for analyzing the frames is taking longer time.
    

    
returned_data = subprocess.check_output(['ffprobe', '-v', 'quiet', '-print_format', 'json', '-show_format', '-show_streams', input_file])
    

    
# Loading of the json file
    

    
data = json.loads(returned_data.decode('utf-8'))
    
t = (data["streams"][0]["avg_frame_rate"])
    
fps = [float(x) for x in t.split('/')]
    

    
# Printing of the general information about the video file
    

    
print "========================== Video ============================="
    
print
    
print "Codec: %s" %(data["streams"][0]["codec_long_name"])
    
print "Profile: %s" %(data["streams"][0]["profile"])
    
print "Resolution: %d x %d" %((data["streams"][0]["width"]), (data["streams"][0]["height"]))
    
print "Pixel Format: %s" %(data["streams"][0]["pix_fmt"])
    
print "Bits per sample: %s" %(data["streams"][0]["bits_per_raw_sample"])
    
print
    
print "========================== Audio ============================="
    
print
    
print "Codec: %s" %(data["streams"][1]["codec_name"])
    
print "Sample Rate: %.3f KHz" %(int(data["streams"][1]["sample_rate"])/1000)
    
print "Bitrate: %d Kbps" %(int(data["streams"][1]["bit_rate"])/1000)

    And here is the output of the JSON file.

    {
    
    "streams": [
    
        {
    
            "index": 0,
    
            "codec_name": "mpeg4",
    
            "codec_long_name": "MPEG-4 part 2",
    
            "profile": "Simple Profile",
    
            "codec_type": "video",
    
            "codec_time_base": "1/24",
    
            "codec_tag_string": "FMP4",
    
            "codec_tag": "0x34504d46",
    
            "width": 854,
    
            "height": 480,
    
            "coded_width": 854,
    
            "coded_height": 480,
    
            "has_b_frames": 0,
    
            "sample_aspect_ratio": "1:1",
    
            "display_aspect_ratio": "427:240",
    
            "pix_fmt": "yuv420p",
    
            "level": 1,
    
            "chroma_location": "left",
    
            "refs": 1,
    
            "quarter_sample": "false",
    
            "divx_packed": "false",
    
            "r_frame_rate": "24/1",
    
            "avg_frame_rate": "24/1",
    
            "time_base": "1/24",
    
            "start_pts": 0,
    
            "start_time": "0.000000",
    
            "duration_ts": 14315,
    
            "duration": "596.458333",
    
            "bit_rate": "2500431",
    
            "nb_frames": "14315",
    
            "disposition": {
    
                "default": 0,
    
                "dub": 0,
    
                "original": 0,
    
                "comment": 0,
    
                "lyrics": 0,
    
                "karaoke": 0,
    
                "forced": 0,
    
                "hearing_impaired": 0,
    
                "visual_impaired": 0,
    
                "clean_effects": 0,
    
                "attached_pic": 0,
    
                "timed_thumbnails": 0
    
            }
    
        },
    
        {
    
            "index": 1,
    
            "codec_name": "ac3",
    
            "codec_long_name": "ATSC A/52A (AC-3)",
    
            "codec_type": "audio",
    
            "codec_time_base": "1/48000",
    
            "codec_tag_string": "[0] [0][0]",
    
            "codec_tag": "0x2000",
    
            "sample_fmt": "fltp",
    
            "sample_rate": "48000",
    
            "channels": 6,
    
            "channel_layout": "5.1(side)",
    
            "bits_per_sample": 0,
    
            "dmix_mode": "-1",

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