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How to use get_resolutions method in avocado

Best Python code snippet using avocado_python

main.py

Source:main.py

...25			break26		f2 = Image.open(frames[next_frame])27		if f2.mode != "RGB":28			f2 = f2.convert("RGB") 29		f1_levels = get_resolutions(f1, 3)30		f2_levels = get_resolutions(f2, 3)31		f1_levels.append(f1)32		f2_levels.append(f2)33		width, height = f1.size34		# Temporal difference between frames35		dt = diff(f1, f2)36		# Apply sobel and harris to get the best points to track37		start = time()38		dx, dy = sobel(f1, 3)39		print "Sobel: %.2f segundos" % (time() - start)40		start = time()41		corners = harris(dx, dy, width, height, 3)42		print "Harris: %.2f segundos" % (time() - start)43		# Obtain optical flow using pyramidal implemenatation of lukas kanade feature tracker44		start = time()45		optical_flow = lukas_kanade_pyramidal(corners, f1_levels, f2_levels, dx, dy, dt, 3)46		for point, velocity_vector in optical_flow:47			f1 = draw_velocity_vector(f1, point, velocity_vector)48		print "Lukas Kanade Pyramidal: %.2f segundos" % (time() - start)49		f1_name = os.path.basename(os.path.splitext(frames[i])[0])50		f2_name = os.path.basename(os.path.splitext(frames[next_frame])[0])51		f1.save(os.path.join(sys.argv[2], "flow_%s_to_%s.png") % (f1_name, f2_name), "png")52'''if __name__ == "__main__":53	pipe = communicate_with_ffmpeg_by_pipe(sys.argv[1], 'rgb24')54	f1 = extract_frame_from_video_buffer(pipe.stdout, 1920, 1080, 3)55	if f1 is not None:56		f1 = Image.fromarray(f1)57	i = 158	while f1 is not None:	59		f2 = extract_frame_from_video_buffer(pipe.stdout, 1920, 1080, 3)60		if f2 is None:61			break62		f2 = Image.fromarray(f2)63		f1_levels = get_resolutions(f1, 3)64		f2_levels = get_resolutions(f2, 3)65		f1_levels.append(f1)66		f2_levels.append(f2)67		width, height = f1.size68		# Temporal difference between frames69		dt = diff(f1, f2)70		# Apply sobel and harris to get the best points to track71		start = time()72		dx, dy = sobel(f1, 3)73		print "Sobel: %.2f segundos" % (time() - start)74		start = time()75		corners = harris(dx, dy, width, height, 3)76		print "Harris: %.2f segundos" % (time() - start)77		# Obtain optical flow using pyramidal implemenatation of lukas kanade feature tracker78		start = time()...

resolution_analysis.py

Source:resolution_analysis.py

...23    plt.savefig(figs_path + fig_name, dpi=900)24    # plt.show()25    plt.close()26    return 027def get_resolutions(all_res_df):28    print "Getting all startup values."29    resolutions = all_res_df["resolution_mc"]30    plot_CDF("all", resolutions)31    services = ["amazon", "netflix", "twitch", "youtube"]32    for service in services:33        print "Getting " + service + " resolution values."34        tmp_df = all_res_df[all_res_df['session_id'].str.contains(service)]35        service_resolutions = tmp_df["resolution_mc"]36        plot_CDF(service, service_resolutions)37    return 038def main():39    print "Script Start"40    print datetime.datetime.now()41    parser = argparse.ArgumentParser()42    parser.add_argument('-f', '--file', type=str, required=True, help="Pickle File with all resolutions (without 1st min) for all deployments.")43    args = vars(parser.parse_args())44    resolutions_pickle = args["file"]45    all_res_df = pd.read_pickle(resolutions_pickle)46    get_resolutions(all_res_df)47    print "Script End"48    print datetime.datetime.now()49    return 050if __name__ == '__main__':...

download_youtube_video.py

Source:download_youtube_video.py

...5    print(f"Saved to {path}")6def down_progress(chunk,file_handler,remaining_bytes):7    # Segment of media file binary data, not yet written to disk.8    print(chunk,file_handler,remaining_bytes)9def get_resolutions(obj):10    return [i.resolution for i in obj]11def download_video(yt):12    print(yt.title)13    available_streams = yt.streams.filter(file_extension='mp4',progressive=True)14    # available_streams = yt.streams.filter(file_extension='mp4',adaptive=True)15    print(f"Available Quality - {get_resolutions(available_streams)}")16    vid_quality = input("Video Quality: ")17    desired_stream = available_streams.get_by_resolution(vid_quality)18    file_size = round(desired_stream.filesize_approx/1048576,2)19    print(f"File Size: {file_size}MB")20    desired_stream.download(output_path="downloads")21link = input("Enter the link: ")22yt = YouTube(link,on_complete_callback=completed)...

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