How to use get_resolutions method in avocado

Best Python code snippet using avocado_python

main.py

Source: main.py Github

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...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()...

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resolution_analysis.py

Source: resolution_analysis.py Github

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...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__':...

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download_youtube_video.py

Source: download_youtube_video.py Github

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...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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