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|
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# UCCS Visualize\n",
"\n",
"- read in all images, resized\n",
"- mean images\n",
"- read in all bboxes\n",
"- draw normalized bboxes"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"%reload_ext autoreload\n",
"%autoreload 2\n",
"\n",
"import os\n",
"from os.path import join\n",
"import math\n",
"from glob import glob\n",
"from random import randint\n",
"\n",
"import cv2 as cv\n",
"import numpy as np\n",
"import pandas as pd\n",
"from PIL import Image, ImageDraw\n",
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import scipy.io\n",
"from pathlib import Path\n",
"from sklearn import preprocessing\n",
"from tqdm import tqdm_notebook as tqdm\n",
"\n",
"import sys\n",
"sys.path.append('/work/megapixels_dev/megapixels/')\n",
"from app.settings import app_cfg as cfg\n",
"from app.utils import file_utils\n",
"from app.models.bbox import BBox"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"fp_dir_uccs = '/data_store/datasets/people/uccs/dataset'\n",
"fp_dir_ims = '/data_store/datasets/people/uccs/dataset/media/original'\n",
"fp_baseline = '/data_store/datasets/people/uccs/dataset/UCCS-v2-detection-baseline-validation.csv'"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# function to create spaced colormaps as RGB values\n",
"\n",
"import matplotlib as mpl\n",
"import matplotlib.cm as mplcm\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib import cm\n",
"\n",
"def get_color_map(cmap='prism', ncolors=20, as_hex=False, reverse=False, bgr=True):\n",
" norm = mpl.colors.Normalize(vmin=0, vmax=ncolors-1)\n",
" scalars = mplcm.ScalarMappable(norm=norm, cmap=cmap)\n",
" colors = [scalars.to_rgba(i) for i in range(ncolors)]\n",
" colors = [(int(255*c[0]),int(255*c[1]),int(255*c[2])) for c in colors] \n",
" if reverse:\n",
" colors = colors[::-1]\n",
" if bgr:\n",
" colors = [c[::-1] for c in colors]\n",
" if as_hex:\n",
" colors = ['#{:02x}{:02x}{:02x}'.format(c[0],c[1],c[2]) for c in colors]\n",
" return colors\n",
"\n",
"def jitter_clr(clr, amt=10, mono=False):\n",
" clr = list(clr)\n",
" if mono:\n",
" r = randint(-amt, amt)\n",
" for i in range(len(clr)):\n",
" clr[i] = max(0, min(255, clr[i] + r))\n",
" else:\n",
" for i in range(len(clr)):\n",
" r = randint(-amt, amt)\n",
" clr[i] = max(0, min(255, clr[i] + r))\n",
" return clr\n",
"\n",
"def random_color():\n",
" return tuple(map(int, np.random.choice(range(256), size=3)))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"10917\n"
]
}
],
"source": [
"fp_ims = glob(join(fp_dir_ims, '*.jpg'))\n",
"print(len(fp_ims))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(3456, 5184, 3)\n"
]
}
],
"source": [
"im = cv.imread(fp_ims[0])\n",
"print(im.shape)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>FILE</th>\n",
" <th>BB_X</th>\n",
" <th>BB_Y</th>\n",
" <th>BB_WIDTH</th>\n",
" <th>BB_HEIGHT</th>\n",
" <th>DETECTION_SCORE</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>000b35e2c91ccd4adb25e7e410db7b7c.jpg</td>\n",
" <td>3540.81</td>\n",
" <td>1973.13</td>\n",
" <td>237.21</td>\n",
" <td>287.37</td>\n",
" <td>0.99</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>000b35e2c91ccd4adb25e7e410db7b7c.jpg</td>\n",
" <td>1576.59</td>\n",
" <td>2290.10</td>\n",
" <td>189.79</td>\n",
" <td>223.13</td>\n",
" <td>0.97</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>000b35e2c91ccd4adb25e7e410db7b7c.jpg</td>\n",
" <td>706.63</td>\n",
" <td>1512.31</td>\n",
" <td>180.06</td>\n",
" <td>254.76</td>\n",
" <td>0.55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>000d7f5f2b753210388273e792dae92b.jpg</td>\n",
" <td>2106.86</td>\n",
" <td>2868.81</td>\n",
" <td>226.57</td>\n",
" <td>279.73</td>\n",
" <td>1.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>000d7f5f2b753210388273e792dae92b.jpg</td>\n",
" <td>-17.83</td>\n",
" <td>1933.80</td>\n",
" <td>125.03</td>\n",
" <td>214.81</td>\n",
" <td>1.00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" FILE BB_X BB_Y BB_WIDTH \\\n",
"0 000b35e2c91ccd4adb25e7e410db7b7c.jpg 3540.81 1973.13 237.21 \n",
"1 000b35e2c91ccd4adb25e7e410db7b7c.jpg 1576.59 2290.10 189.79 \n",
"2 000b35e2c91ccd4adb25e7e410db7b7c.jpg 706.63 1512.31 180.06 \n",
"3 000d7f5f2b753210388273e792dae92b.jpg 2106.86 2868.81 226.57 \n",
"4 000d7f5f2b753210388273e792dae92b.jpg -17.83 1933.80 125.03 \n",
"\n",
" BB_HEIGHT DETECTION_SCORE \n",
"0 287.37 0.99 \n",
"1 223.13 0.97 \n",
"2 254.76 0.55 \n",
"3 279.73 1.00 \n",
"4 214.81 1.00 "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_rois = pd.read_csv(fp_baseline)\n",
"roi_records = df_rois.to_dict('records')\n",
"df_rois.head()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"5232\n"
]
}
],
"source": [
"rois = {}\n",
"dim = (5184, 3456)\n",
"for row in roi_records:\n",
" x, y, w, h = row['BB_X'], row['BB_Y'], row['BB_WIDTH'], row['BB_HEIGHT']\n",
" # threshold values for 5184x3456\n",
" x = max(0, min(5184, x))\n",
" y = max(0, min(y,3456))\n",
" rois[row['FILE']] = BBox.from_xywh_dim(x, y, w, h, dim)\n",
"print(len(rois))"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
"colors = get_color_map(cmap='Blues', ncolors=len(rois), reverse=False, bgr=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" Colormap PiYGF is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens, Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy, RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn, autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat, gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r, gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma, magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, terrain, terrain_r, viridis, viridis_r, winter, winter_r"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(232, 126, 182)"
]
},
"execution_count": 67,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"random_color()"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"BBox: (0.1759008487654321,0.7841435185185185), (0.2050906635802469, 0.8471296296296296), width:0.029189814814814807, height:0.06298611111111108\n"
]
}
],
"source": [
"print(list(rois.values())[2])"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "40ef1dc91349421fb15073e537e80397",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(IntProgress(value=0, max=5232), HTML(value='')))"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f25f40f9940>"
]
},
"execution_count": 90,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# draw it\n",
"scale = 1\n",
"ya_green = (250,250,250)\n",
"size_orig = (5184, 3456)\n",
"size_scale = (int(size_orig[0]/scale), int(size_orig[1]/scale))\n",
"im = np.zeros([size_scale[1], size_scale[0], 3]).astype(np.uint8)\n",
"im_blank = im.copy()\n",
"im[::] = (0,0,0)\n",
"limit = 12000\n",
"# limit = 100\n",
"stroke_weight = 1\n",
"\n",
"w,h = size_scale\n",
"for i, roi in enumerate(tqdm(rois.items())):\n",
" fname, bbox = roi # expand\n",
" bbox = bbox.to_dim((w,h))\n",
" pt1, pt2 = tuple(map(int, bbox.pt_tl)), tuple(map(int, bbox.pt_br))\n",
" #im_cp = im.copy()\n",
" rn = random_color()\n",
" #cv.rectangle(im, pt1, pt2, jitter_clr(colors[i]), stroke_weight, cv.LINE_AA,)\n",
" cv.rectangle(im, pt1, pt2, jitter_clr(ya_green), stroke_weight, cv.LINE_AA)\n",
" #im = cv.addWeighted(im_cp, 0.9, im, .1, 0)\n",
" if i > limit:\n",
" break\n",
"\n",
" \n",
"cv.imwrite('bboxes_full_03.png', im)\n",
"plt.imshow(cv.cvtColor(im, cv.COLOR_BGR2RGB))"
]
},
{
"cell_type": "code",
"execution_count": 108,
"metadata": {},
"outputs": [],
"source": [
"from time import sleep"
]
},
{
"cell_type": "code",
"execution_count": 110,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "5ffef71ceb0d4fa39bcf63a81d3a359f",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(IntProgress(value=0, description='2nd loop'), HTML(value='')))"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"for j in tqdm(range(100), desc='2nd loop'):\n",
" sleep(0.01)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "megapixels",
"language": "python",
"name": "megapixels"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|