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Added processing
2021-10-17 21:32:30 +02:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import os \n",
"import sys\n",
"import time "
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"### Select video file "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'./../temp/ShowCase_1_frames'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"VIDEO = './../exampledata/ShowCase_1.mp4'\n",
"assert os.path.exists(VIDEO), 'Video path not recognized: no such file or directory'\n",
"\n",
"VIDEOOUT = VIDEO.split(\"/\")[-1].split(\".\")[0]\n",
"ROOT = \"/\".join(VIDEO.split(\"/\")[:-1]) + \"/\"\n",
"TMP_DIR = \"/\".join(VIDEO.split(\"/\")[:-2]) + \"/temp/\"\n",
"\n",
"if not(os.path.exists(TMP_DIR)):\n",
" os.mkdir(TMP_DIR)\n",
"\n",
"path = \"%s%s_frames\" % (TMP_DIR, VIDEOOUT)\n",
"if not(os.path.exists(path)):\n",
" os.mkdir(path)\n",
"path"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Extract all video frames with ffmpeg\n",
"ffmpeg needs to be installed locally see [https://www.wikihow.com/Install-FFmpeg-on-Windows](https://www.wikihow.com/Install-FFmpeg-on-Windows)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"./../temp/ShowCase_1_frames/frame%04d.jpg\n",
"Wall time: 4min 21s\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"ffmpeg version 2021-10-11-git-90a0da9f14-full_build-www.gyan.dev Copyright (c) 2000-2021 the FFmpeg developers\n",
" built with gcc 10.3.0 (Rev5, Built by MSYS2 project)\n",
" configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-lzma --enable-libsnappy --enable-zlib --enable-librist --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-libbluray --enable-libcaca --enable-sdl2 --enable-libdav1d --enable-libzvbi --enable-librav1e --enable-libsvtav1 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxvid --enable-libaom --enable-libopenjpeg --enable-libvpx --enable-libass --enable-frei0r --enable-libfreetype --enable-libfribidi --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-nvdec --enable-nvenc --enable-d3d11va --enable-dxva2 --enable-libmfx --enable-libglslang --enable-vulkan --enable-opencl --enable-libcdio --enable-libgme --enable-libmodplug --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libshine --enable-libtheora --enable-libtwolame --enable-libvo-amrwbenc --enable-libilbc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-ladspa --enable-libbs2b --enable-libflite --enable-libmysofa --enable-librubberband --enable-libsoxr --enable-chromaprint\n",
" libavutil 57. 7.100 / 57. 7.100\n",
" libavcodec 59. 12.100 / 59. 12.100\n",
" libavformat 59. 6.100 / 59. 6.100\n",
" libavdevice 59. 0.101 / 59. 0.101\n",
" libavfilter 8. 12.100 / 8. 12.100\n",
" libswscale 6. 1.100 / 6. 1.100\n",
" libswresample 4. 0.100 / 4. 0.100\n",
" libpostproc 56. 0.100 / 56. 0.100\n",
"Input #0, mov,mp4,m4a,3gp,3g2,mj2, from './../exampledata/ShowCase_1.mp4':\n",
" Metadata:\n",
" major_brand : isom\n",
" minor_version : 512\n",
" compatible_brands: isomiso2avc1mp41\n",
" creation_time : 2020-09-01T12:52:30.000000Z\n",
" encoder : Lavf58.13.101\n",
" Duration: 00:03:24.71, start: 0.000000, bitrate: 199228 kb/s\n",
" Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 5760x2880, 199098 kb/s, 29.97 fps, 29.97 tbr, 30k tbn (default)\n",
" Metadata:\n",
" creation_time : 2020-09-01T12:52:30.000000Z\n",
" handler_name : VideoHandler\n",
" vendor_id : [0][0][0][0]\n",
" Side data:\n",
" stereo3d: 2D\n",
" spherical: equirectangular (0.000000/0.000000/0.000000) \n",
" Stream #0:1[0x2](und): Audio: aac (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 128 kb/s (default)\n",
" Metadata:\n",
" creation_time : 2020-09-01T12:52:30.000000Z\n",
" handler_name : SoundHandler\n",
" vendor_id : [0][0][0][0]\n",
"Stream mapping:\n",
" Stream #0:0 -> #0:0 (h264 (native) -> mjpeg (native))\n",
"Press [q] to stop, [?] for help\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e798ea500] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e799affc0] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e79a55cc0] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e79afb680] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e79ba1100] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e79c83a80] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e79d18f00] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e79dae380] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e79e4ee80] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e79ee4300] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e79fb7d00] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e7a052180] deprecated pixel format used, make sure you did set range correctly\n",
"[swscaler @ 0000026e79899d80] [swscaler @ 0000026e7a108c00] deprecated pixel format used, make sure you did set range correctly\n",
"Output #0, image2, to './../temp/ShowCase_1_frames/frame%04d.jpg':\n",
" Metadata:\n",
" major_brand : isom\n",
" minor_version : 512\n",
" compatible_brands: isomiso2avc1mp41\n",
" encoder : Lavf59.6.100\n",
" Stream #0:0(und): Video: mjpeg, yuvj420p(pc, progressive), 5760x2880, q=2-31, 200 kb/s, 29.97 fps, 29.97 tbn (default)\n",
" Metadata:\n",
" creation_time : 2020-09-01T12:52:30.000000Z\n",
" handler_name : VideoHandler\n",
" vendor_id : [0][0][0][0]\n",
" encoder : Lavc59.12.100 mjpeg\n",
" Side data:\n",
" cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: N/A\n",
" stereo3d: 2D\n",
" spherical: equirectangular (0.000000/0.000000/0.000000) \n",
"frame= 1 fps=0.0 q=9.6 size=N/A time=00:00:00.03 bitrate=N/A speed=0.0554x \n",
"frame= 9 fps=8.1 q=24.6 size=N/A time=00:00:00.30 bitrate=N/A speed=0.269x \n",
"frame= 20 fps= 12 q=24.8 size=N/A time=00:00:00.66 bitrate=N/A speed=0.412x \n",
"frame= 33 fps= 15 q=24.8 size=N/A time=00:00:01.10 bitrate=N/A speed=0.512x \n",
"frame= 46 fps= 17 q=24.8 size=N/A time=00:00:01.53 bitrate=N/A speed=0.577x \n",
"frame= 59 fps= 19 q=24.8 size=N/A time=00:00:01.96 bitrate=N/A speed=0.618x \n",
"frame= 72 fps= 19 q=24.8 size=N/A time=00:00:02.40 bitrate=N/A speed=0.648x \n",
"frame= 85 fps= 20 q=24.8 size=N/A time=00:00:02.83 bitrate=N/A speed=0.668x \n",
"frame= 98 fps= 21 q=24.8 size=N/A time=00:00:03.26 bitrate=N/A speed=0.684x \n",
"frame= 111 fps= 21 q=24.8 size=N/A time=00:00:03.70 bitrate=N/A speed=0.698x \n",
"frame= 124 fps= 21 q=24.8 size=N/A time=00:00:04.13 bitrate=N/A speed=0.709x \n",
"frame= 137 fps= 21 q=24.8 size=N/A time=00:00:04.57 bitrate=N/A speed=0.717x \n",
"frame= 150 fps= 22 q=24.8 size=N/A time=00:00:05.00 bitrate=N/A speed=0.724x \n",
"frame= 162 fps= 22 q=24.8 size=N/A time=00:00:05.40 bitrate=N/A speed=0.728x \n",
"frame= 174 fps= 22 q=24.8 size=N/A time=00:00:05.80 bitrate=N/A speed=0.732x \n",
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"frame= 238 fps= 23 q=24.8 size=N/A time=00:00:07.94 bitrate=N/A speed=0.751x \n",
"frame= 251 fps= 23 q=24.8 size=N/A time=00:00:08.37 bitrate=N/A speed=0.754x \n",
"frame= 264 fps= 23 q=24.8 size=N/A time=00:00:08.80 bitrate=N/A speed=0.756x \n",
"frame= 276 fps= 23 q=24.8 size=N/A time=00:00:09.20 bitrate=N/A speed=0.758x \n",
"frame= 288 fps= 23 q=24.8 size=N/A time=00:00:09.60 bitrate=N/A speed=0.758x \n",
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"frame= 398 fps= 23 q=24.8 size=N/A time=00:00:13.27 bitrate=N/A speed=0.766x \n",
"frame= 410 fps= 23 q=24.8 size=N/A time=00:00:13.68 bitrate=N/A speed=0.767x \n",
"frame= 422 fps= 23 q=24.8 size=N/A time=00:00:14.08 bitrate=N/A speed=0.767x \n",
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"frame= 471 fps= 23 q=24.8 size=N/A time=00:00:15.71 bitrate=N/A speed=0.77x \n",
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"frame= 495 fps= 23 q=24.8 size=N/A time=00:00:16.51 bitrate=N/A speed=0.77x \n",
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"frame= 557 fps= 23 q=24.8 size=N/A time=00:00:18.58 bitrate=N/A speed=0.772x \n",
"frame= 569 fps= 23 q=24.8 size=N/A time=00:00:18.98 bitrate=N/A speed=0.772x \n",
"frame= 582 fps= 23 q=24.8 size=N/A time=00:00:19.41 bitrate=N/A speed=0.773x \n",
"frame= 594 fps= 23 q=24.8 size=N/A time=00:00:19.81 bitrate=N/A speed=0.773x \n",
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"frame= 707 fps= 23 q=24.8 size=N/A time=00:00:23.59 bitrate=N/A speed=0.777x \n",
"frame= 720 fps= 23 q=24.8 size=N/A time=00:00:24.02 bitrate=N/A speed=0.777x \n",
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"frame= 832 fps= 23 q=24.8 size=N/A time=00:00:27.76 bitrate=N/A speed=0.78x \n",
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"frame= 857 fps= 23 q=24.8 size=N/A time=00:00:28.59 bitrate=N/A speed=0.78x \n",
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"frame= 906 fps= 23 q=24.8 size=N/A time=00:00:30.23 bitrate=N/A speed=0.781x \n",
"frame= 919 fps= 23 q=24.8 size=N/A time=00:00:30.66 bitrate=N/A speed=0.781x \n",
"frame= 931 fps= 23 q=24.8 size=N/A time=00:00:31.06 bitrate=N/A speed=0.782x \n",
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"frame= 1142 fps= 23 q=24.8 size=N/A time=00:00:38.10 bitrate=N/A speed=0.783x \n",
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"frame= 1342 fps= 24 q=24.8 size=N/A time=00:00:44.77 bitrate=N/A speed=0.784x \n",
"frame= 1354 fps= 24 q=24.8 size=N/A time=00:00:45.17 bitrate=N/A speed=0.784x \n",
"frame= 1366 fps= 24 q=24.8 size=N/A time=00:00:45.57 bitrate=N/A speed=0.784x \n",
"frame= 1378 fps= 24 q=24.8 size=N/A time=00:00:45.97 bitrate=N/A speed=0.784x \n",
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"frame= 5778 fps= 24 q=24.8 size=N/A time=00:03:12.79 bitrate=N/A speed=0.786x \n",
"frame= 5790 fps= 24 q=24.8 size=N/A time=00:03:13.19 bitrate=N/A speed=0.786x \n",
"frame= 5803 fps= 24 q=24.8 size=N/A time=00:03:13.62 bitrate=N/A speed=0.786x \n",
"frame= 5816 fps= 24 q=24.8 size=N/A time=00:03:14.06 bitrate=N/A speed=0.786x \n",
"frame= 5828 fps= 24 q=24.8 size=N/A time=00:03:14.46 bitrate=N/A speed=0.786x \n",
"frame= 5840 fps= 24 q=24.8 size=N/A time=00:03:14.86 bitrate=N/A speed=0.786x \n",
"frame= 5852 fps= 24 q=24.8 size=N/A time=00:03:15.26 bitrate=N/A speed=0.786x \n",
"frame= 5865 fps= 24 q=24.8 size=N/A time=00:03:15.69 bitrate=N/A speed=0.786x \n",
"frame= 5877 fps= 24 q=24.8 size=N/A time=00:03:16.09 bitrate=N/A speed=0.786x \n",
"frame= 5889 fps= 24 q=24.8 size=N/A time=00:03:16.49 bitrate=N/A speed=0.786x \n",
"frame= 5901 fps= 24 q=24.8 size=N/A time=00:03:16.89 bitrate=N/A speed=0.786x \n",
"frame= 5913 fps= 24 q=24.8 size=N/A time=00:03:17.29 bitrate=N/A speed=0.786x \n",
"frame= 5925 fps= 24 q=24.8 size=N/A time=00:03:17.69 bitrate=N/A speed=0.786x \n",
"frame= 5937 fps= 24 q=24.8 size=N/A time=00:03:18.09 bitrate=N/A speed=0.786x \n",
"frame= 5949 fps= 24 q=24.8 size=N/A time=00:03:18.49 bitrate=N/A speed=0.786x \n",
"frame= 5961 fps= 24 q=24.8 size=N/A time=00:03:18.89 bitrate=N/A speed=0.786x \n",
"frame= 5973 fps= 24 q=24.8 size=N/A time=00:03:19.29 bitrate=N/A speed=0.786x \n",
"frame= 5986 fps= 24 q=24.8 size=N/A time=00:03:19.73 bitrate=N/A speed=0.786x \n",
"frame= 5998 fps= 24 q=24.8 size=N/A time=00:03:20.13 bitrate=N/A speed=0.786x \n",
"frame= 6011 fps= 24 q=24.8 size=N/A time=00:03:20.56 bitrate=N/A speed=0.786x \n",
"frame= 6024 fps= 24 q=24.8 size=N/A time=00:03:21.00 bitrate=N/A speed=0.786x \n",
"frame= 6037 fps= 24 q=24.8 size=N/A time=00:03:21.43 bitrate=N/A speed=0.786x \n",
"frame= 6050 fps= 24 q=24.8 size=N/A time=00:03:21.86 bitrate=N/A speed=0.786x \n",
"frame= 6063 fps= 24 q=24.8 size=N/A time=00:03:22.30 bitrate=N/A speed=0.786x \n",
"frame= 6075 fps= 24 q=24.8 size=N/A time=00:03:22.70 bitrate=N/A speed=0.786x \n",
"frame= 6087 fps= 24 q=24.8 size=N/A time=00:03:23.10 bitrate=N/A speed=0.786x \n",
"frame= 6100 fps= 24 q=24.8 size=N/A time=00:03:23.53 bitrate=N/A speed=0.786x \n",
"frame= 6112 fps= 24 q=24.8 size=N/A time=00:03:23.93 bitrate=N/A speed=0.786x \n",
"frame= 6125 fps= 24 q=24.8 size=N/A time=00:03:24.37 bitrate=N/A speed=0.786x \n",
"frame= 6135 fps= 24 q=24.8 Lsize=N/A time=00:03:24.70 bitrate=N/A speed=0.786x \n",
"video:1428587kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown\n"
]
}
],
"source": [
"%%time\n",
"path = (\"%s%s_frames/frame\" % (TMP_DIR, VIDEOOUT)) + \"%04d.jpg\"\n",
"print(path)\n",
"!ffmpeg -i $VIDEO $path"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Run OpenPose on frames and generate Body Movement analysis\n",
"Requirements: \n",
"- POSE_PROTO_FILE = r\"openpose/pose_deploy_linevec.prototxt\"\n",
"- POSE_WEIGHTS_FILE = r\"openpose/pose_iter_440000.caffemodel\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
" 1%|█▍ | 39/6135 [00:32<14:01, 7.24it/s]"
]
}
],
"source": [
"import process_OpenPose as openpose\n",
"\n",
"openpose.process(VIDEO)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Run RT-Gene on video \n",
"Requirements: \n",
"- If you have not done so yet run install_RTGene.py \n",
"- Specify amount of people in video `maxPeople` for sorting algorithm (NOTE: all subjects should be visible in the beginning of the video)\n",
"- [OPTIONAL] provide a calibration file for your camera see e.g. `./calib_insta.pkl`"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loading networks\n",
"Using device cuda:0 for face detection.\n",
"PyTorch using 8 threads.\n",
"WARNING:tensorflow:From C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\estimate_gaze_tensorflow.py:28: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.\n",
"\n",
"Load model ./../model_nets/Model_allsubjects1.h5\n",
"WARNING:tensorflow:From C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\tensorflow_core\\python\\ops\\resource_variable_ops.py:1635: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"If using Keras pass *_constraint arguments to layers.\n",
"Loaded 1 model(s)\n",
"Video frame count: 6135.0\n",
"WARNING!!! You should provide the camera calibration file, otherwise you might get bad results. \n",
" Using a crude approximation!\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "f849897c814e4f6da7e138a13dbf088e",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/6135 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"ERROR:root:Internal Python error in the inspect module.\n",
"Below is the traceback from this internal error.\n",
"\n",
"ERROR:root:Internal Python error in the inspect module.\n",
"Below is the traceback from this internal error.\n",
"\n",
"ERROR:root:Internal Python error in the inspect module.\n",
"Below is the traceback from this internal error.\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3343, in run_code\n",
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
" File \"<ipython-input-3-591fb7219cf7>\", line 3, in <module>\n",
" rtgene.process(VIDEO, maxPeople=6)\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\process_RTGene.py\", line 259, in process\n",
" lstRet.append(estimate_gaze(image_file_name, image, landmark_estimator, gaze_estimator, _dist_coefficients, _camera_matrix, args))\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\process_RTGene.py\", line 59, in estimate_gaze\n",
" subjects = landmark_estimator.get_subjects_from_faceboxes(color_img, faceboxes)\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\extract_landmarks_method_base.py\", line 126, in get_subjects_from_faceboxes\n",
" initial_pts68_list = self.ddfa_forward_pass(color_img, roi_box_list)\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\extract_landmarks_method_base.py\", line 113, in ddfa_forward_pass\n",
" img_step = [crop_img(color_img, roi_box) for roi_box in roi_box_list]\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\extract_landmarks_method_base.py\", line 113, in <listcomp>\n",
" img_step = [crop_img(color_img, roi_box) for roi_box in roi_box_list]\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\ThreeDDFA\\inference.py\", line 45, in crop_img\n",
" res = np.zeros((dh, dw, 3), dtype=np.uint8)\n",
"KeyboardInterrupt\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2044, in showtraceback\n",
" stb = value._render_traceback_()\n",
"AttributeError: 'KeyboardInterrupt' object has no attribute '_render_traceback_'\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1169, in get_records\n",
" return _fixed_getinnerframes(etb, number_of_lines_of_context, tb_offset)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 316, in wrapped\n",
" return f(*args, **kwargs)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 350, in _fixed_getinnerframes\n",
" records = fix_frame_records_filenames(inspect.getinnerframes(etb, context))\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 1490, in getinnerframes\n",
" frameinfo = (tb.tb_frame,) + getframeinfo(tb, context)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 1448, in getframeinfo\n",
" filename = getsourcefile(frame) or getfile(frame)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 696, in getsourcefile\n",
" if getattr(getmodule(object, filename), '__loader__', None) is not None:\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 733, in getmodule\n",
" if ismodule(module) and hasattr(module, '__file__'):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\tensorflow\\__init__.py\", line 50, in __getattr__\n",
" module = self._load()\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\tensorflow\\__init__.py\", line 44, in _load\n",
" module = _importlib.import_module(self.__name__)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\importlib\\__init__.py\", line 126, in import_module\n",
" return _bootstrap._gcd_import(name[level:], package, level)\n",
" File \"<frozen importlib._bootstrap>\", line 994, in _gcd_import\n",
" File \"<frozen importlib._bootstrap>\", line 971, in _find_and_load\n",
" File \"<frozen importlib._bootstrap>\", line 953, in _find_and_load_unlocked\n",
"ModuleNotFoundError: No module named 'tensorflow_core.estimator'\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3343, in run_code\n",
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
" File \"<ipython-input-3-591fb7219cf7>\", line 3, in <module>\n",
" rtgene.process(VIDEO, maxPeople=6)\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\process_RTGene.py\", line 259, in process\n",
" lstRet.append(estimate_gaze(image_file_name, image, landmark_estimator, gaze_estimator, _dist_coefficients, _camera_matrix, args))\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\process_RTGene.py\", line 59, in estimate_gaze\n",
" subjects = landmark_estimator.get_subjects_from_faceboxes(color_img, faceboxes)\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\extract_landmarks_method_base.py\", line 126, in get_subjects_from_faceboxes\n",
" initial_pts68_list = self.ddfa_forward_pass(color_img, roi_box_list)\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\extract_landmarks_method_base.py\", line 113, in ddfa_forward_pass\n",
" img_step = [crop_img(color_img, roi_box) for roi_box in roi_box_list]\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\extract_landmarks_method_base.py\", line 113, in <listcomp>\n",
" img_step = [crop_img(color_img, roi_box) for roi_box in roi_box_list]\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\ThreeDDFA\\inference.py\", line 45, in crop_img\n",
" res = np.zeros((dh, dw, 3), dtype=np.uint8)\n",
"KeyboardInterrupt\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2044, in showtraceback\n",
" stb = value._render_traceback_()\n",
"AttributeError: 'KeyboardInterrupt' object has no attribute '_render_traceback_'\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3263, in run_ast_nodes\n",
" if (await self.run_code(code, result, async_=asy)):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3360, in run_code\n",
" self.showtraceback(running_compiled_code=True)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2047, in showtraceback\n",
" value, tb, tb_offset=tb_offset)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1436, in structured_traceback\n",
" self, etype, value, tb, tb_offset, number_of_lines_of_context)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1336, in structured_traceback\n",
" self, etype, value, tb, tb_offset, number_of_lines_of_context\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1193, in structured_traceback\n",
" tb_offset)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1150, in format_exception_as_a_whole\n",
" last_unique, recursion_repeat = find_recursion(orig_etype, evalue, records)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 451, in find_recursion\n",
" return len(records), 0\n",
"TypeError: object of type 'NoneType' has no len()\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2044, in showtraceback\n",
" stb = value._render_traceback_()\n",
"AttributeError: 'TypeError' object has no attribute '_render_traceback_'\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1169, in get_records\n",
" return _fixed_getinnerframes(etb, number_of_lines_of_context, tb_offset)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 316, in wrapped\n",
" return f(*args, **kwargs)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 350, in _fixed_getinnerframes\n",
" records = fix_frame_records_filenames(inspect.getinnerframes(etb, context))\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 1490, in getinnerframes\n",
" frameinfo = (tb.tb_frame,) + getframeinfo(tb, context)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 1448, in getframeinfo\n",
" filename = getsourcefile(frame) or getfile(frame)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 696, in getsourcefile\n",
" if getattr(getmodule(object, filename), '__loader__', None) is not None:\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 733, in getmodule\n",
" if ismodule(module) and hasattr(module, '__file__'):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\tensorflow\\__init__.py\", line 50, in __getattr__\n",
" module = self._load()\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\tensorflow\\__init__.py\", line 44, in _load\n",
" module = _importlib.import_module(self.__name__)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\importlib\\__init__.py\", line 126, in import_module\n",
" return _bootstrap._gcd_import(name[level:], package, level)\n",
" File \"<frozen importlib._bootstrap>\", line 994, in _gcd_import\n",
" File \"<frozen importlib._bootstrap>\", line 971, in _find_and_load\n",
" File \"<frozen importlib._bootstrap>\", line 953, in _find_and_load_unlocked\n",
"ModuleNotFoundError: No module named 'tensorflow_core.estimator'\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3343, in run_code\n",
" exec(code_obj, self.user_global_ns, self.user_ns)\n",
" File \"<ipython-input-3-591fb7219cf7>\", line 3, in <module>\n",
" rtgene.process(VIDEO, maxPeople=6)\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\process_RTGene.py\", line 259, in process\n",
" lstRet.append(estimate_gaze(image_file_name, image, landmark_estimator, gaze_estimator, _dist_coefficients, _camera_matrix, args))\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\process_RTGene.py\", line 59, in estimate_gaze\n",
" subjects = landmark_estimator.get_subjects_from_faceboxes(color_img, faceboxes)\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\extract_landmarks_method_base.py\", line 126, in get_subjects_from_faceboxes\n",
" initial_pts68_list = self.ddfa_forward_pass(color_img, roi_box_list)\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\extract_landmarks_method_base.py\", line 113, in ddfa_forward_pass\n",
" img_step = [crop_img(color_img, roi_box) for roi_box in roi_box_list]\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\extract_landmarks_method_base.py\", line 113, in <listcomp>\n",
" img_step = [crop_img(color_img, roi_box) for roi_box in roi_box_list]\n",
" File \"C:\\Users\\Anna\\PycharmProjects\\conan\\processing\\rt_gene\\ThreeDDFA\\inference.py\", line 45, in crop_img\n",
" res = np.zeros((dh, dw, 3), dtype=np.uint8)\n",
"KeyboardInterrupt\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2044, in showtraceback\n",
" stb = value._render_traceback_()\n",
"AttributeError: 'KeyboardInterrupt' object has no attribute '_render_traceback_'\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3263, in run_ast_nodes\n",
" if (await self.run_code(code, result, async_=asy)):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3360, in run_code\n",
" self.showtraceback(running_compiled_code=True)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2047, in showtraceback\n",
" value, tb, tb_offset=tb_offset)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1436, in structured_traceback\n",
" self, etype, value, tb, tb_offset, number_of_lines_of_context)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1336, in structured_traceback\n",
" self, etype, value, tb, tb_offset, number_of_lines_of_context\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1193, in structured_traceback\n",
" tb_offset)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1150, in format_exception_as_a_whole\n",
" last_unique, recursion_repeat = find_recursion(orig_etype, evalue, records)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 451, in find_recursion\n",
" return len(records), 0\n",
"TypeError: object of type 'NoneType' has no len()\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2044, in showtraceback\n",
" stb = value._render_traceback_()\n",
"AttributeError: 'TypeError' object has no attribute '_render_traceback_'\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2895, in _run_cell\n",
" return runner(coro)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 68, in _pseudo_sync_runner\n",
" coro.send(None)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3072, in run_cell_async\n",
" interactivity=interactivity, compiler=compiler, result=result)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3282, in run_ast_nodes\n",
" self.showtraceback()\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2047, in showtraceback\n",
" value, tb, tb_offset=tb_offset)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1436, in structured_traceback\n",
" self, etype, value, tb, tb_offset, number_of_lines_of_context)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1336, in structured_traceback\n",
" self, etype, value, tb, tb_offset, number_of_lines_of_context\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1211, in structured_traceback\n",
" chained_exceptions_tb_offset)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1150, in format_exception_as_a_whole\n",
" last_unique, recursion_repeat = find_recursion(orig_etype, evalue, records)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 451, in find_recursion\n",
" return len(records), 0\n",
"TypeError: object of type 'NoneType' has no len()\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2044, in showtraceback\n",
" stb = value._render_traceback_()\n",
"AttributeError: 'TypeError' object has no attribute '_render_traceback_'\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1169, in get_records\n",
" return _fixed_getinnerframes(etb, number_of_lines_of_context, tb_offset)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 316, in wrapped\n",
" return f(*args, **kwargs)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 350, in _fixed_getinnerframes\n",
" records = fix_frame_records_filenames(inspect.getinnerframes(etb, context))\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 1490, in getinnerframes\n",
" frameinfo = (tb.tb_frame,) + getframeinfo(tb, context)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 1448, in getframeinfo\n",
" filename = getsourcefile(frame) or getfile(frame)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 696, in getsourcefile\n",
" if getattr(getmodule(object, filename), '__loader__', None) is not None:\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\inspect.py\", line 733, in getmodule\n",
" if ismodule(module) and hasattr(module, '__file__'):\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\tensorflow\\__init__.py\", line 50, in __getattr__\n",
" module = self._load()\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\site-packages\\tensorflow\\__init__.py\", line 44, in _load\n",
" module = _importlib.import_module(self.__name__)\n",
" File \"C:\\Users\\Anna\\miniconda3\\envs\\conan_env\\lib\\importlib\\__init__.py\", line 126, in import_module\n",
" return _bootstrap._gcd_import(name[level:], package, level)\n",
" File \"<frozen importlib._bootstrap>\", line 994, in _gcd_import\n",
" File \"<frozen importlib._bootstrap>\", line 971, in _find_and_load\n",
" File \"<frozen importlib._bootstrap>\", line 953, in _find_and_load_unlocked\n",
"ModuleNotFoundError: No module named 'tensorflow_core.estimator'\n"
]
}
],
"source": [
"import process_RTGene as rtgene\n",
"\n",
"rtgene.process(VIDEO, maxPeople=6)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of frames: 6135\n",
"WARNING: apriltag2 not supported on windows, running with pupil_apriltag...\n"
]
},
{
"data": {
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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Frame 0 found 0 tags\n",
"Frame 1 found 0 tags\n",
"Frame 2 found 0 tags\n",
"Frame 3 found 0 tags\n",
"Frame 4 found 0 tags\n",
"Frame 5 found 0 tags\n",
"Frame 6 found 0 tags\n",
"Frame 7 found 0 tags\n",
"Frame 8 found 0 tags\n",
"Frame 9 found 0 tags\n",
"Frame 10 found 0 tags\n",
"Frame 11 found 0 tags\n",
"Frame 12 found 0 tags\n",
"Frame 13 found 0 tags\n",
"Frame 14 found 0 tags\n",
"Frame 15 found 0 tags\n",
"Frame 16 found 0 tags\n",
"Frame 17 found 0 tags\n",
"Frame 18 found 0 tags\n",
"Frame 19 found 0 tags\n",
"Frame 20 found 0 tags\n",
"Frame 21 found 0 tags\n",
"Frame 22 found 0 tags\n",
"Frame 23 found 0 tags\n",
"Frame 24 found 0 tags\n",
"Frame 25 found 0 tags\n",
"Frame 26 found 0 tags\n",
"Frame 27 found 0 tags\n",
"Frame 28 found 0 tags\n",
"Frame 29 found 0 tags\n",
"Frame 30 found 0 tags\n",
"Frame 31 found 0 tags\n",
"Frame 32 found 0 tags\n",
"Frame 33 found 0 tags\n",
"Frame 34 found 0 tags\n",
"Frame 35 found 0 tags\n",
"Frame 36 found 0 tags\n",
"Frame 37 found 0 tags\n",
"Frame 38 found 0 tags\n",
"Frame 39 found 0 tags\n",
"Frame 40 found 0 tags\n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-3-15943b79b07d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mprocess_AprilTag\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mapriltag\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mapriltag\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprocess\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mVIDEO\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;32m~\\PycharmProjects\\conan\\processing\\process_AprilTag.py\u001b[0m in \u001b[0;36mprocess\u001b[1;34m(file)\u001b[0m\n\u001b[0;32m 73\u001b[0m \u001b[0mimg\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mCOLOR_BGR2GRAY\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 74\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 75\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdetector\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdetect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 76\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 77\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32m~\\miniconda3\\envs\\conan_env\\lib\\site-packages\\pupil_apriltags\\bindings.py\u001b[0m in \u001b[0;36mdetect\u001b[1;34m(self, img, estimate_tag_pose, camera_params, tag_size)\u001b[0m\n\u001b[0;32m 412\u001b[0m \u001b[1;31m# detect apriltags in the image\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 413\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlibc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapriltag_detector_detect\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrestype\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mctypes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPOINTER\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_ZArray\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 414\u001b[1;33m \u001b[0mdetections\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlibc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapriltag_detector_detect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtag_detector_ptr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mc_img\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 415\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 416\u001b[0m \u001b[0mapriltag\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mctypes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPOINTER\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_ApriltagDetection\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"import process_AprilTag as apriltag\n",
"\n",
"apriltag.process(VIDEO)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
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