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@d0p3t
Created October 4, 2017 16:03
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import serpent.ocr as ocr\n",
"from skimage import io, color\n",
"\n",
"from matplotlib import pyplot as plt\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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AyM93bwydC/njH//IPueGsQTv6TKSAAlORj9qRDnZA7R0o1S0xG1DX1aSy8cb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\n/sfvbsoYlbUAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f20e40edeb8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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drc2cKdfRdvjjqLpH3tvM9HW3kJ0R9Mk9/vX7htX+1pc24Zk2O2q9yKFy9vgx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\nr1AoFJMcZegVCoVikqMMvUKhUExy/j860cLfWlDpbQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f20e3b882e8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f20e3b610f0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"3\n",
"00:00:37\n"
]
},
{
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7f20e4052e80>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"21,.gm\n"
]
},
{
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7f20e3acedd8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"image = io.imread('/home/remco/Documents/Projects/SerpentAI/datasets/collect_frames/frame_722b219b-0439-48c8-b16d-42b7802827d0.png')\n",
"\n",
"image_time_distance = image[300:400,360:800]\n",
"image_coins = image[190:300, 575: 800]\n",
"\n",
"plt.imshow(image_coins)\n",
"plt.show()\n",
"plt.imshow(image_time_distance)\n",
"plt.show()\n",
"image_time_distance = np.array(color.rgb2gray(image_time_distance) * 2, dtype=\"uint8\")\n",
"image_coins = np.array(color.rgb2gray(image_coins) * 1, dtype=\"uint8\")\n",
"plt.imshow(image_coins)\n",
"plt.show()\n",
"\n",
"candidates, regions = ocr.extract_ocr_candidates(image=image_time_distance, gradient_size=3, closing_size=10, minimum_area=100, minimum_aspect_ratio=2)\n",
"coins = ocr.perform_ocr(image=image_coins, scale=1, order=5, horizontal_closing=2, vertical_closing=3)\n",
"pos = -1\n",
"\n",
"print(coins)\n",
" \n",
"for region in regions:\n",
" crop = image_time_distance[region[0]:region[2], region[1]:region[3]]\n",
" read = ocr.perform_ocr(image=crop, scale=4, order=1, horizontal_closing=2, vertical_closing=2)\n",
" if \"Distance\" in read:\n",
" pos = regions.index(region) + 1\n",
" elif \"Time\" in read:\n",
" pos = regions.index(region) + 1\n",
" \n",
" if regions.index(region) == pos:\n",
" print(read)\n",
" plt.imshow(crop)\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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