{ "cells": [ { "metadata": { "trusted": true }, "cell_type": "code", "source": "from smu.visualise.video import VideoReader\nfrom tqdm import tqdm", "execution_count": 1, "outputs": [] }, { "metadata": { "trusted": true }, "cell_type": "code", "source": "%%timeit\n\nall_frames = np.array(list(\n VideoReader('/Users/dsuess/Downloads/SJ4000 _ Short Cinematic Test Video-geaY4_obGnU.mp4')))", "execution_count": 5, "outputs": [ { "output_type": "stream", "text": "16.5 s ± 1.67 s per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", "name": "stdout" } ] }, { "metadata": { "trusted": true }, "cell_type": "code", "source": "sample_frames = np.array(list(tqdm(\n VideoReader('/Users/dsuess/Downloads/SJ4000 _ Short Cinematic Test Video-geaY4_obGnU.mp4', 100, None))))\n\nnp.abs(sample_frames - all_frames[100:]).max()", "execution_count": 8, "outputs": [ { "output_type": "stream", "text": "2585it [00:06, 398.01it/s]\n", "name": "stderr" } ] }, { "metadata": { "trusted": true }, "cell_type": "code", "source": "%%timeit\n\nnp.array(list(\n VideoReader('/Users/dsuess/Downloads/SJ4000 _ Short Cinematic Test Video-geaY4_obGnU.mp4', 1292, None)))", "execution_count": 11, "outputs": [ { "output_type": "stream", "text": "6.81 s ± 285 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", "name": "stdout" } ] }, { "metadata": { "trusted": true }, "cell_type": "code", "source": "sample_frames = np.array(list(tqdm(\n VideoReader('/Users/dsuess/Downloads/SJ4000 _ Short Cinematic Test Video-geaY4_obGnU.mp4', 1000))))\n\nnp.abs(sample_frames - all_frames[:1000]).max()", "execution_count": 12, "outputs": [ { "output_type": "stream", "text": "1000it [00:02, 365.12it/s]\n", "name": "stderr" }, { "output_type": "execute_result", "execution_count": 12, "data": { "text/plain": "0" }, "metadata": {} } ] }, { "metadata": { "trusted": true }, "cell_type": "code", "source": "%%timeit\n\nnp.array(list(\n VideoReader('/Users/dsuess/Downloads/SJ4000 _ Short Cinematic Test Video-geaY4_obGnU.mp4', 1292)))", "execution_count": 13, "outputs": [ { "output_type": "stream", "text": "5.06 s ± 31.3 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", "name": "stdout" } ] }, { "metadata": { "trusted": true }, "cell_type": "code", "source": "sample_frames = np.array(list(tqdm(\n VideoReader('/Users/dsuess/Downloads/SJ4000 _ Short Cinematic Test Video-geaY4_obGnU.mp4', None, None, 10))))\n\nnp.abs(sample_frames - all_frames[::10]).max()", "execution_count": 14, "outputs": [ { "output_type": "stream", "text": "269it [00:12, 21.04it/s]\n", "name": "stderr" }, { "output_type": "execute_result", "execution_count": 14, "data": { "text/plain": "0" }, "metadata": {} } ] }, { "metadata": { "trusted": true }, "cell_type": "code", "source": "sample_frames = np.array(list(tqdm(\n VideoReader('/Users/dsuess/Downloads/SJ4000 _ Short Cinematic Test Video-geaY4_obGnU.mp4', None, None, 100))))\n\nnp.abs(sample_frames - all_frames[::100]).max()", "execution_count": 15, "outputs": [ { "output_type": "stream", "text": "27it [00:01, 20.50it/s]\n", "name": "stderr" }, { "output_type": "execute_result", "execution_count": 15, "data": { "text/plain": "0" }, "metadata": {} } ] }, { "metadata": { "trusted": true }, "cell_type": "code", "source": "sample_frames = np.array(list(tqdm(\n VideoReader('/Users/dsuess/Downloads/SJ4000 _ Short Cinematic Test Video-geaY4_obGnU.mp4', 342, 2153, 10))))\n\nnp.abs(sample_frames - all_frames[342:2153:10]).max()", "execution_count": 16, "outputs": [ { "output_type": "stream", "text": "182it [00:08, 24.43it/s]\n", "name": "stderr" }, { "output_type": "execute_result", "execution_count": 16, "data": { "text/plain": "0" }, "metadata": {} } ] } ], "metadata": { "kernelspec": { "name": "conda-env-smu-py", "display_name": "Python [conda env:smu]", "language": "python" }, "varInspector": { "window_display": false, "cols": { "lenName": 16, "lenType": 16, "lenVar": 40 }, "kernels_config": { "python": { "library": "var_list.py", "delete_cmd_prefix": "del ", "delete_cmd_postfix": "", "varRefreshCmd": "print(var_dic_list())" }, "r": { "library": "var_list.r", "delete_cmd_prefix": "rm(", "delete_cmd_postfix": ") ", "varRefreshCmd": "cat(var_dic_list()) " } }, "types_to_exclude": [ "module", "function", "builtin_function_or_method", "instance", "_Feature" ] }, "language_info": { "name": "python", "version": "3.7.1", "mimetype": "text/x-python", "codemirror_mode": { "name": "ipython", "version": 3 }, "pygments_lexer": "ipython3", "nbconvert_exporter": "python", "file_extension": ".py" }, "gist": { "id": "", "data": { "description": "VideoReader speed test", "public": true } } }, "nbformat": 4, "nbformat_minor": 2 }