{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Testing ONNX export" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "import cv2\n", "import numpy as np\n", "import onnxruntime as rt\n", "import matplotlib.pyplot as plt\n", "import json" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Loading the Image" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "# img_path = '../examples/AnnualCrop_1.jpg'\n", "# img_path = '../examples/Forest_1.jpg'\n", "img_path = '../examples/Highway_1.jpg'\n", "# img_path = '../examples/River_1.jpg'\n", "\n", "orig_image = cv2.imread(img_path)\n", "orig_image = cv2.cvtColor(orig_image, cv2.COLOR_BGR2RGB)\n", "\n", "image = np.array(orig_image, dtype=np.float32) / 255.0\n", "image = cv2.resize(image, (64, 64))\n", "image = np.transpose(image, (2, 0, 1))\n", "image = np.expand_dims(image, axis=0)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.imshow(image[0].transpose(1, 2, 0))" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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O41uzbbHQB6LFtZOXTxXjmj99aq/qA4ANqam2WNICYfCajzRX4gNi5HiUMqTw7qQhYryo6HNbLDTmSnHtrpwM5TQUWPyr4u1C8BUQEREZwQRERERGMAEREZERTEBERGQEExARERnBXnCXmB5jk2yxT15f75O9f3OPPBE1Z7u9N9mu4mxx7Zqxs8T43a+nXfC5PAqOiOGg3t0avPWatJli/M4hcqWaI0b5GnfZJ58CwGtb7X3fNhSWimv/mLFV3psC37AUOb7VTGUke8EREZFfYgIiIiIjmICIiMgIJiAiIjLCqwSUlpaG66+/Hm3atMEVV1yBpKQkHDp0qM6a6upqTJw4Ee3bt8dll12GMWPGoLy83KeHJiKips+rXnA7d+7ExIkTcf311+Ps2bP49a9/jWHDhuHgwYNo3bo1AGD69OnYtGkTsrKy4HQ6MWnSJIwePRrvv/9+o1wAeedgVrYtFnRVZ3GtdeQLr/YePKyvGB8Y1d4Wu3m7PG11epbcr21DmDxt9U8n/lLP0wHodZUYtk58I8Zbhf1IjLtRZYvd3EvubedQpseWFsjTTL+GXB33fmGxLfbHLGXCaYw8PRfFcj9BCiAOpcmgn/IqAW3evLnOv1evXo0rrrgCeXl5+MlPfgKXy4WVK1di3bp1GDp0KABg1apV6N69O/bs2YMbbpCbXhIR0aWnQe8Buf75Nwvt2rUDAOTl5cHtdiMxMdGzJjY2FjExMdi9e7e4R01NDSorK+vciIgo8F1wAqqtrcW0adMwcOBA9OzZEwBQVlaG4OBghIWF1VkbERGBsrIycZ+0tDQ4nU7PLTpa/lUGEREFlgtOQBMnTsSBAweQmZnZoAOkpqbC5XJ5biUlJQ3aj4iImoYLGkg3adIkvP3229i1axc6derkiUdGRuLMmTM4ceJEnVdB5eXliIyMFPcKCQlBSEjIhRyDfKXI/gY3oA+7ax4XL8bP5snD4SQ/w0NifMKmJ8T4iNvGifFrgjqI8b1vb7TFnCOV9yCdYWL4tHVKjK9MfdgWC606Le+tDBLcn1soL3fLbyI7HPbihC5R8rS7niNHivGNOUqLnhx5wCA1QZuWmD6BV7x6BWRZFiZNmoT169fjvffeQ5cuXerc369fPzgcDmzbts0TO3ToEIqLi5GQkOCbExMRUUDw6hXQxIkTsW7dOmzYsAFt2rTxvK/jdDrRqlUrOJ1O3HfffZgxYwbatWuHtm3bYvLkyUhISGAFHBER1eFVAsrION9RdfDgwXXiq1atwj333AMAWLx4MZo1a4YxY8agpqYGw4cPx9KlS31yWCIiChxeJaD6TG5o2bIl0tPTkZ6efsGHIiKiwMdecEREZAQH0pHPLPz4b2J8Ri+51Y8v/M9Vt4jxN4o22WJ/nfeKuLbv7PENP4jrYzleIQ+Nq8jfL8b3F8sViaVCFdzaTXJVmyNc/v6JGzJIjGdnZ9tiBzcViGuJvMGBdERE5JeYgIiIyAgmICIiMoIJiIiIjGACIiIiI1gFR34l671dYvz2ITd6tc+G1NW22K8X/Epc++jYu8T43a8/79Vjys7I4e3rxHBhqdyMd0eBvXfcbxbIe/xDOUn22/Lf5g0eMsQWeyM3V1x7/wPT5M2LXMqjUqDrlPQ7W6zWXY1jmx5jFRwREfknJiAiIjKCCYiIiIxgAiIiIiOYgIiIyAhWwVGTEDEsSYyXbVlf/00KvhLDP+39YzHucESJ8f/76qA96Ayu/zm+1xElflW9d1iU+nMx/rXLLcYHJ/3MFiuVl+LxrHfF+NE1WfU7HJkRZ690BADkb2/Uh2UVHBER+SUmICIiMoIJiIiIjGACIiIiI5iAiIjICFbBBapwuYJLm9AZaHzxZf3IjQ+I8U059oqvD99+U1zrGDm0wefwlUUP3yPG3xAmq5ZUVYlrvyxVer4pVXPkJ1gFR0RE9G9MQEREZAQTEBERGcEERERERrAI4VIjFSdcIoUJC55/RYw/OmW8V/usfWCqLfb4igxx7TMznxXjt//Ovof3TsjhAuWN5V631Xvn67p3F+NfV1SI8S+VOPmJrvFyvEgePOgrLEIgIiK/xARERERGMAEREZERTEBERGQEExARERnBKjjCT0YmiXFXhdxf5aPcTY14mosvIlauECr7dE+996jIkQfJ/fK2cWI8JtQhxl/8y0b5AWI61PssyHlVDL+xda8Yv33e87bY//a7Qd67tEgMFyuteDZ7Ux3njJHjruL670GKcCXeuNWLrIIjIiK/xARERERGMAEREZERTEBERGQEExARERnBKjhSLZmZJsYdLrlyJmXFwsY8jt/Y/t5HttjgIb292uO3N94jxnfky725Fj8/3xaLvb/+vd0AAK5P5Xi+vRfgsnvuFZdOGKkMNpv3hBi+4xZ5nz/mNu4gNPIPrIIjIiK/xARERERGMAEREZERTEBERGQEExARERnBKjjyWtb9U8R4UalLjM/atKYxj+MXtr4q93C7+a5bvNpnQ+pSMf7Igl/ZYgO79hLX/v71VfLmcfKUU1HVV3K8VOnL5pKfe8QNFcNBQUH1PkrE/clivDw7W/6ACuUsErklHxAbK8cLCuu/d1PQtascDxd6x+V6Pz2VVXBEROSXmICIiMgIJiAiIjKCCYiIiIzwqgghIyMDGRkZ+Nvf/gYAuPbaazFnzhyMGDECAFBdXY2ZM2ciMzMTNTU1GD58OJYuXYqIiIh6H4hFCE1X1iy5dU9Vhb3VS/KKJY19HL+w7u3NYvzOkcO92yj3mC004oabxKXOUPn7J/NtpThhiBfFCfnvieFF9zwoxmNSHhXjv1mz1ha7MiZU3iNOLggodMvFBrvWrLMHi+SJeVdPkQscBnSVh+PtLSwQ48VCAU71JqXdkDK8z5+0TLnfFqvOWOH1Pj4tQujUqRMWLFiAvLw87Nu3D0OHDsWoUaPwySefAACmT5+OjRs3IisrCzt37sSxY8cwevRorw9NRESBr4U3i2+99dY6/3766aeRkZGBPXv2oFOnTli5ciXWrVuHoUPPl16uWrUK3bt3x549e3DDDcqIXyIiuiRd8HtA586dQ2ZmJk6dOoWEhATk5eXB7XYjMTHRsyY2NhYxMTHYvXu3uk9NTQ0qKyvr3IiIKPB5nYAKCgpw2WWXISQkBBMmTMD69evRo0cPlJWVITg4GGFhYXXWR0REoKysTN0vLS0NTqfTc4uOjvb6IoiIqOnxOgFdc801+PDDD5Gbm4uUlBQkJyfj4MGDF3yA1NRUuFwuz62kpOSC9yIioqajwa14EhMT0bVrV4wbNw433XQTvvnmmzqvgjp37oxp06Zh+vTp9dqPVXCBJ3f2LFvMoVQCPbVukxh/s1iuPmqqbp0yVoy/9fzrDd77vzvI7W9KK+TP4Xyh4unmpXJFo7d+eaP83m8FqmyxO++6S1y7oyBHjLui5Eq1d4vybbF/ZCltZGKVVjRu+/kAAFVKmx9peamyxyWk0Vvx1NbWoqamBv369YPD4cC2bds89x06dAjFxcVISEho6MMQEVGA8aoKLjU1FSNGjEBMTAxOnjyJdevWYceOHdiyZQucTifuu+8+zJgxA+3atUPbtm0xefJkJCQksAKOiIhsvEpAx48fx913343S0lI4nU707t0bW7Zswc033wwAWLx4MZo1a4YxY8bU+UNUIiKi7/IqAa1cufJ772/ZsiXS09ORnp7eoEMREVHgYy84IiIyInAH0kUpcW1W1aVcsNJVGD4FAEUVPtm+hxD7U7JcBRbukM/yuTJkbENhkRifX+j98Cx/9qn1rS0Wi9Ze7bFs6gIx/viShbbYpJH2yjgAeGy1Uh2nfAlpXNnP22J7XWfFtb9aI/cgK3HIveOqhGFq1eu2enE68hUOpCMiIr/EBEREREYwARERkRFMQEREZAQTEBERGREYVXBSxduweHmt1uNpXWD1GlNJ7bO0CY32QaYX5Fdde9lik5TKuyi3fBhHrDwVU/NGkf3wj+TYe4QBwNEqH13oRdZ8mP3zCgBnt3zs1T5rn7RPOf3NnGni2oFChRkAZK5+Qt585I1enUXyy9vkTiqrsgOr0tEnQuXKQMQoZcFKFamvsAqOiIj8EhMQEREZwQRERERGMAEREZERTEBERGREYFTBSYUfvZQ9uirVIFr1SL5QJZKvNJTT+s81zSKrC+AQo6dmzrTFQkuVqsMqpSQvXq74QqnyXAjVWq4Kee8BQi80APhM3rnJ+kL5VhcLI3O+Etdef6M8XDI8VP5+eylNro7rOuUWMe6NHdmrxfiQ2+5t8N5NQoz9a3zcXSPFpc4oefLry1Pn+PRI38UqOCIi8ktMQEREZAQTEBERGcEERERERng1kvui6oT6p0fpfWitUEB70zpefpOu3RB7S59/OHLkPYou5al2wLgo6e1sINQhvPkfKhcsoEKp2HApz5tWryLUlDhj5EKT/cnJYnzSVvl5/rNwlPKqxm1p4gudg4LE+LEz9uKEqEEdxLUfWkfE+P9cNVSMj5k6UYxPyH3fHntVGXanGJx0jxi3LPuww6Cgy7zau0kQCm3cDvn7KjfXP9sW8RUQEREZwQRERERGMAEREZERTEBERGQEExARERnhv614uqBhVXBaQZrScQcVSlzqABMXJ6/dLg88Q7Gyd4DZNHKYGP+Z9PlyKk9QhfJEaFVw4V60VtJaPLmUs2hfQ2773k9t2iounV3gn9VHP8RXPxaeGj5ejP9hq/3zNTB2iLj296tXyZvHt77gc/1LkFIZ6BNKRRqUoYu+eUwl3ogP+X3YioeIiPwSExARERnBBEREREYwARERkRFMQEREZIT/VsG1APDdAhVDlRw2sV5Wt/h/mzCvjA6Xe7796f4k+QOkvm/aYMBipWQwX6kwjFL2Efpk6VVJcljtSydUwaFK3ntRTqEYn1mk9BP0c776cfHGgtdtsf9NnSuuvdIhPJcA/pA2Q4zHzrztwg/2T9feKA/MO5izqcF765QSXbWyzU96T0rf35YFnD7LKjgiIvJPTEBERGQEExARERnBBEREREYwARERkRH+OxH1rOkDfA+nUq2i9SUrkiuhmqq7e0kN8qBXAUp93CqU0p4qpbJHe0yX0jtO6imn9YLTnjetyki6zGK5V90g5SHHKaNc/yg2NvQfau+0WLk/4olP88T47bN+bovFxMjVlXeMHyfG+z58rxifsGmvLbb4Pe+mrX7yl7fFeFBQsPIRPijRHWSfvnyeF9VuOQZ6D1Zd+LXzFRARERnBBEREREYwARERkRFMQEREZIT/FiG0gz09au91RQlvaBc2Yt8ebYBZlDbtrml6cpA8IGzUSO3NUuUNdKVNjUhqoQPobXS0N2gLCuwxl/wmt7q3+piCcPm5v1IpthgVI1+no1he/4o6MdFPFMqtksKUooX8L76xxQbcdYO49vO7vhDjPw0bLsZf255ti11zj/z5nrB6phjXdIqKFeNflgpfb0qhifp9krPdq7MEAr4CIiIiI5iAiIjICCYgIiIyggmIiIiMYAIiIiIjGjSQbsGCBUhNTcXUqVPx3HPPAQCqq6sxc+ZMZGZmoqamBsOHD8fSpUsRERFRrz09A+nu6wMEN6/fQSqEqpIiZQqc1tVCiyvz0QLJgzFyK5qXfjdf/gCtuKfwkByX2uto1W5aJ5oq5Q6tXU6BUJXlVqralAo2RClVc1Kbn1K56rK0WB5qt18ZdlcsDbsDUCacPccl77HNz9v5aBYuXyXGZ9x/j1f7PN7Pvn5TvlSlBgwaOVKMjxp7txh/t0BudfPbFctssXNO5eutOMCq3WKEr9laC/jydOMNpPvggw/w0ksvoXfv3nXi06dPx8aNG5GVlYWdO3fi2LFjGD169IU+DBERBagLSkDffvstxo8fj+XLl+Pyyy/3xF0uF1auXIlFixZh6NCh6NevH1atWoW//vWv2LNnj88OTURETd8FJaCJEydi5MiRSExMrBPPy8uD2+2uE4+NjUVMTAx2794t7lVTU4PKyso6NyIiCnxed0LIzMxEfn4+PvjgA9t9ZWVlCA4ORlhYWJ14REQEysrKxP3S0tLwxBNPeHsMIiJq4rx6BVRSUoKpU6fi1VdfRcuWLX1ygNTUVLhcLs+tpKTEJ/sSEZF/8+oVUF5eHo4fP464uH8Pnzp37hx27dqFF198EVu2bMGZM2dw4sSJOq+CysvLERkZKe4ZEhKCkJAQ+x1uNxBUa48JmkfZq7jOaRehVVNpcakBXROujOsSaq/MeSllrLw4Vil3kwbMAUCM/ByjVHj1qw2eg1KRVipXfKFUeTJC7VV2bmV4natI3iPcpfQTFHrEFRXKQwcPKVVwLuVr2Q25cipSiP8sVK5ejFJ6772h9JOrFqMX38wH5AFzJQX7xfji558X44/nrbbF3EMfEteu3ZQlxquUismbx94pxh+93x5btGaluNZfPt8AoHy5yX03lV6XV48cZoudO+NG0cpNP/jwXiWgm266CQXfafJ47733IjY2Fo8++iiio6PhcDiwbds2jBkzBgBw6NAhFBcXIyEhwZuHIiKiAOdVAmrTpg169uxZJ9a6dWu0b9/eE7/vvvswY8YMtGvXDm3btsXkyZORkJCAG26QO90SEdGlyefjGBYvXoxmzZphzJgxdf4QlYiI6D81OAHt2LGjzr9btmyJ9PR0pKenN3RrIiIKYOwFR0RERvjvRNSPPgOay9MUv+tcV6GUI9/LXnDaAFU/H0TprbdS7rIHhw2UF3s50BHhygc4zgp7KJ/wKiUuVO+dj2t93OxncSjP/V6lT1h4V3n9gCH2SbGVkL/eipRqN/mv4gDtC7G9EHdUyV+cTuWL/GeQ++9JJ//Ij77wn1uyRIxPT54sxmPirrLFnn5Pfhug1W33iPGXsteJ8VKlGvPuKTNssbeWy33mnlrxghjftWmOGNesO3bcFrtr+K3yYqWHnfY93jw+zhYLVSqFWwlVsefcwve8gK+AiIjICCYgIiIyggmIiIiMYAIiIiIjmICIiMiIBk1EbQyeiajUIL+Kk6d5PrP8WXuwqzL5061UQlVoFWxKmZlLiEsxACj6XIkrveCEvmwA5Oo4Zdrou9lyz6q1ylTd38ycZYvFKn2y/rxkhRh/v1juP+dNhzxtzqTWzlf5DMIhNAQrVHryfdQEpq364kfaCw89KcYXZ8i9466JjbfFHk0TvtcA9OwVJu+9UPmDfcdpMex22ouYtxbLU4k/0qrg8oXJwQCaD7OXgN4uVH8CwOC4nrbY6VPVmDF6VuNNRCUiImoIJiAiIjKCCYiIiIxgAiIiIiP8txXPxaZ0dFHfFfYTPXrJQ8memWdvDQIA6CX0l9GKDbT2RNrnShnihXChBUzhXnltgdJCSRuCp7biEQorKuQ98ivkJ/kVeWe8snCBfY95s8W1P5siTCoDcM327WJ8xyY5LpVm6O18ZHIjHqBCavOjFBv0V578MmWy2ZcGihaCguwtvL468624NtzRWoxPXio/n1UVcvHIrCx7657i8fL31aMp94nxR0YKbbIAtYfUsnXCwLscudjgyZkTxPjja+S2QOe22ttTdb1f/louKbUXPtScPiOu/S6+AiIiIiOYgIiIyAgmICIiMoIJiIiIjGACIiIiIy69Vjza1r2UdjRFQiVLqYHSOKXA7Mkk++AoAHjs+fnyB0T1sscq5HYcKq06zilX5GH7Dnts01Z5rfa51Vr3aJ+YGPvzubdYrsj61Xb5LLuUR/TGtEGDxPj/DpKfNygtekpy7VVJuUqroAPKWbTiRYlbWS1VzAGAS3nu9yqVkeeqlGrHi8xXP/72rvmLLXbvPdPEtTGhcj3iH15V6i6VoYbhYzvW62wAsOzJ58W4SxjcCACPZyyyxfrGyueOjbU/92eq3Xh1fhZb8RARkX9iAiIiIiOYgIiIyAgmICIiMoIJiIiIjLj0quC6Kh2xqpSeVS6hAkWrAtPiPtBcif/flCQxPniW3PsJUUK1UmGhvFYb9lalXKh2/dl/tsdKlfFoaoGhUsPllj9AKnj7TY69kgwAXqnSRrVdfOuSU8T47TH26y/aLvf9yszJEePy1cuf2VClXLRCeR42KE/cuSYwwE7ylfJjUeunJyr4Sgxf2/snYjwubqS8j9IL7g/L0+3BXvY+eN9nf87HYnx7ob0y9uknnxLXhsfYv1bOnT2Hoj0fsQqOiIj8ExMQEREZwQRERERGMAEREZERTEBERGREYFTBhQrVWlqlVhP1k65yr60/JctTFMMHXSNvVFVpj5XK/ceg9KzSKs/UCrZiqcpMeX7Ulm9aFZz8tfLCJnsl2JQiuWrMe9LnRZkq6yP5KVNssb5x8nNcLFUdAng3V+75V1Jhfy62KtezWzvgJaJL3BAx/nnee/Xe444OQ8X43gq5P572k2xgnL3PYOb6V+XFSqtLd6E8udQRG2yLVVTIqeLFNUtssZrqaix4bBar4IiIyD8xARERkRFMQEREZAQTEBERGeG/RQhd2gHN6pkfpTeoC5U31psorRXP4mHym6KTxw5TPkJ4l9+ttEtRBmGphQLau6UuYX8pBqjz5eDsKoYfycgW48+6Gu/5XzD7ZVtsb/5+ce2BYvmN5c+UOFz1H9SWM2WWGB8YF618xGkxumOrvUnPkHVr6n0OAuCwFwlZZ455tcW7D6WKcZdSgPPIkoW2WN9eSeLax+Y9K8ajYzqI8XBlXqJk0Yqltlj16dP4zZSHWYRARET+iQmIiIiMYAIiIiIjmICIiMgIJiAiIjLCf6vg/EWUdBal3KtUnabWaH4VLlfIPJOkDLeKFVr6KC1dUFQix7XhfWrrHuHzpbX/iY2V4wXy+qAFK+T1PrBu9ioxfnO8vURo+pxp4tpX8rcru8vP2+iUmWL8zYwnbbGWys6nX7dX6QFQvpaBX6a+YIutUobaUf35ZKjd93jkxvG22BvK0MWeg5LEeK+YK8V4W2HI3KNpt4lrpZmdlZWViAl3sgqOiIj8ExMQEREZwQRERERGMAEREZERTEBERGREC28WP/7443jiiSfqxK655hoUFhYCAKqrqzFz5kxkZmaipqYGw4cPx9KlSxEREeG7EzcWZd5Zuyj7HVVVcrVbtVYEpxSNeaO/En/md/PlO7oqtTZirzWlqk/bI6qnchrlkyg1jyv0stIxSh7Id6uyfKMXW1+tNKDbv2KRGI+FfQjgH16VK89e6d5NeVT5i2VDgVzF1C7e3tvvH7lbxbXLcg+I8RKl/x4r3hpHh6AgMZ716Udi/PbY3l7t/8xf7MPntrbuJ659PydbjFfFyT0je4X2tcWu7f2QuPZP6+294L49KS618foV0LXXXovS0lLPLec/vninT5+OjRs3IisrCzt37sSxY8cwevRobx+CiIguAV69AgKAFi1aIDIy0hZ3uVxYuXIl1q1bh6FDz4+cXbVqFbp37449e/bghhtuEPerqalBTU2N59+VlcLIaCIiCjhevwI6fPgwOnbsiCuvvBLjx49HcfH5PxDMy8uD2+1GYmKiZ21sbCxiYmKwe7c+ST4tLQ1Op9Nzi47WWskTEVEg8SoBxcfHY/Xq1di8eTMyMjJw9OhR3HjjjTh58iTKysoQHByMsLCwOh8TERGBsrIydc/U1FS4XC7PraRE+et7IiIKKF79Cm7EiBGe/+7duzfi4+PRuXNnvP7662jVqtUFHSAkJAQhISEX9LFERNR0ef0e0H8KCwvD1VdfjSNHjuDmm2/GmTNncOLEiTqvgsrLy8X3jJqKfxSU2oPa5E+NF8Vhmg9mTZHviJcnhar92qQ+e1UV8toK5YBFn8txtzLONNyL/zkpVnrERcn96t7a8qa8Xjp6wSFx6fQ59j5rALC1VK5IGyXE9hfky+fw0rlc+TEnrH/FFpt/i1wFl7JwiU/OElCGjJXj2zcpH9B4fR3Hdu8jxueul2s3I5Xvzwl33WOLfXgqT1x7TYehYnxvgVwBWSX0bywrlj8nd9w2xxY7d65GWGnXoL8D+vbbb1FUVISoqCj069cPDocD27Zt89x/6NAhFBcXIyEhoSEPQ0REAcirV0APP/wwbr31VnTu3BnHjh3D3Llz0bx5c9x5551wOp247777MGPGDLRr1w5t27bF5MmTkZCQoFbAERHRpcurBPTll1/izjvvxNdff40OHTpg0KBB2LNnDzp06AAAWLx4MZo1a4YxY8bU+UNUIiKi7/IqAWVmZn7v/S1btkR6ejrS09MbdCgiIgp87AVHRERGcCKqQVqHvPeT7RU7Xe8aLC/WKuyUgjSxp5rS2w4FSrWbS1mvVc1JZ3EoB3Rr1XsxcjxU+QTEDbDH8uUKM1fOXjEembFGjFfLj+iVhUvl6r07U+Spkx2H2qdfYvs6H5ykCQtXKkAHDbHHshtvcq4pbZLsPycq178urj2Q/5UY/+/x94rxo4X2yrt2Tnla8T9c0tTfWgBfciIqERH5JyYgIiIyggmIiIiMYAIiIiIjWIRwEXRR4u8n2webAUDUsDh7sJfSJVx70157k1+LS0KVgXS5hXK8UB6EhgrhjFrxQKhyPu1rQtobAOKlIoT98lrIe49YkiXGN1cUCVH53JZ1RnlM7wQpw818QyrwUFoimRAzSI4XS88DAAjtsy4V4XKxTv4XX4jx4lw5njT0J0JUHgrZEvafExbcqMFWFiEQEZF/YgIiIiIjmICIiMgIJiAiIjKCCYiIiIxo0EA6qqudEn83OUmMR40UKrUAIFZoMVKqVPxUVcpxh1ZlJgyHqzotr4UyHl2rpItSquakijeteq1KmfYnVp4BKNAqoYTHVFoIrc3NFeNytZvM22q31/KPiPG7+knVR43NTyreug6T40Xy4D0SVMjPZVxruYpy3ad/E+NLlq+yxaY8MFpcGwr7zysL51CfkXR8BUREREYwARERkRFMQEREZAQTEBERGcEERERERrAKzof+7/5kMd51kDZMTakmq7IPg0JRmbzWrVSNQdgDAMKFSjVtD+kcABAu94SCS6lsK1XiEq16Txt2p03eE6rp9ioVc8m5+fU42PcLCgoW4z3ihOFoAA7ma5VdXvTqa8qihP5urHa76O7q/mMxvmLP32yxaSlPiGtfyHjKFrNQW6/H5ysgIiIyggmIiIiMYAIiIiIjmICIiMgIJiAiIjKCVXAXIGvYSDHeN0bphaZxKT3YKoT+bsVKRVqx0sdLq7AT2sypvd20qaVubdqqsr6rMHG0SDl3qTLNUiuC6xUrx4XKvg3bc5RNfEGuJNSr3WQ94uR+aAeLhEo9lz9N/lSee4fy/JQ25nNBDXX/bf/PFlv39jZx7cAi+6Ths2fP4K/vvfaDj8NXQEREZAQTEBERGcEERERERjABERGREUxARERkRJBlWZbpQ/ynyspKOJ1C1ZQh2ckpttiorkq1m1YEF65cT36BHJcqxCrkKjiXUh3njFIeMy7eHgtXKpicSrVbbF85XqWUqhV9bo/lK/3XopS+eVq/OrWPnT1+QOkn94tNcqXaR/LOCvlz1SZU7pvnVCoGv3QVytuHCp+XqkacZBorV3qiUDkf6j89lpqorsLPDgDZH++xxaoqK3FXlBMulwtt27ZVt+QrICIiMoIJiIiIjGACIiIiI5iAiIjICLbi+ZdQuYJgYC/hTWRtZphLaZejtZ1RCgvEFjhR8pvZDqV1TZXyhnuo1KJH2VstQqhQhuPl5Mpx6Xp69ZLXarSBdFrLIaGwoqdymX9Vil7+nC+/4V4qtC6yNyM5b1WBXGxxUlmvEgsOlIINbRih2s9IULip/mvp0lAkf38nzVloD9ZU12tLvgIiIiIjmICIiMgIJiAiIjKCCYiIiIxgAiIiIiNYBfcvVXLl0BtZWbbYhK5a1ZjS0kZoCwNAH/gm7aPsHaqcW60acwtxrRVPaCs5XnCo/nsDcoWh1m7J5ZLjscpgM63yMFdoc6Q9DV2lKX3A4GHyGVfm2CvbXtNaCzWqRmzFQ1RfCx++4A/lKyAiIjKCCYiIiIxgAiIiIiOYgIiIyAivE9Df//53/OIXv0D79u3RqlUr9OrVC/v27fPcb1kW5syZg6ioKLRq1QqJiYk4fPiwTw9NRERNn1dVcN988w0GDhyIIUOG4J133kGHDh1w+PBhXH755Z41zzzzDJYsWYI1a9agS5cumD17NoYPH46DBw+iZcuWPr+Axva+0A9sQqxcNaUOR1MHvikT7KKkqrH2yt5KRZ5WTRYu9E4L1QdGiUKVCjZlyBoqhLNoa7VzVygDz7QqOKHCsEJ5ft7YKg+ke61ArjLb5U1PNSJSeZWAfvvb3yI6OhqrVq3yxLp06eL5b8uy8Nxzz+Gxxx7DqFGjAABr165FREQEsrOzcccdd/jo2ERE1NR59Su4t956C/3798fYsWNxxRVXoG/fvli+fLnn/qNHj6KsrAyJiYmemNPpRHx8PHbv3i3uWVNTg8rKyjo3IiIKfF4loM8//xwZGRno1q0btmzZgpSUFEyZMgVr1qwBAJSVnW/THxERUefjIiIiPPd9V1paGpxOp+cWHR19IddBRERNjFcJqLa2FnFxcZg/fz769u2LBx98EA888ACWLVt2wQdITU2Fy+Xy3EpKSi54LyIiajq8SkBRUVHo0aNHnVj37t1RXHz+zdrIyEgAQHl5eZ015eXlnvu+KyQkBG3btq1zIyKiwOdVEcLAgQNx6FDdPmCfffYZOnfuDOB8QUJkZCS2bduG6667DgBQWVmJ3NxcpKSk+ObEjaSlU65su2+YMLlTqlID9OmcpUrPLmUbuU+a8t5YrJzYAeVXmWIlmFK9p1WqhSsVeQ6lOq5CmtqqTVvVpnkq65XP+V6h8m5trlxJl17BnmpEJniVgKZPn47/+q//wvz58/Hzn/8ce/fuxcsvv4yXX34ZABAUFIRp06bhqaeeQrdu3Txl2B07dkRSUlJjnJ+IiJoorxLQ9ddfj/Xr1yM1NRXz5s1Dly5d8Nxzz2H8+PGeNY888ghOnTqFBx98ECdOnMCgQYOwefPmJvk3QERE1Hi8Hsdwyy234JZbblHvDwoKwrx58zBv3rwGHYyIiAIbe8EREZERHEj3T3fHxYjxwb2EQWixyhv8pZ/LcZfy5rw2qK5YerNcWatxKtWEpV8LWyt7a8UWUmsdAKhS4tL2Wjcbpc1PaZX8AX8ukAsLXsi3D6T7SHlIIjKDr4CIiMgIJiAiIjKCCYiIiIxgAiIiIiOYgIiIyAhWwf1TqNouZ5gQPK1solS7KTPj5Go3ABBa4MTIVXpQqsNUwqA2dY9ipaqt0F5hdp5STee0n91dKl/7fqWqbUOx/PysVE5SrsSJyH/wFRARERnBBEREREYwARERkRFMQEREZITfFSFYlmXkcWvO1YrxytPV9mDVOXkTaS0AVNcoD6q8aS/FTyt7nJXD+v9bCGfX9lZqLdRzn9HaBZ2xRdxu+eDf1srPg3JCyKuJyB/80M/zIMvUT3zFl19+iehopdcaERE1GSUlJejUqZN6v98loNraWhw7dgxt2rTByZMnER0djZKSkoAe1V1ZWcnrDBCXwjUCvM5A4+vrtCwLJ0+eRMeOHdGsmf5Oj9/9Cq5Zs2aejBkUFAQAaNu2bUA/+f/C6wwcl8I1ArzOQOPL63Q6lb+L/A8sQiAiIiOYgIiIyAi/TkAhISGYO3cuQkJCTB+lUfE6A8elcI0ArzPQmLpOvytCICKiS4NfvwIiIqLAxQRERERGMAEREZERTEBERGQEExARERnh1wkoPT0dP/7xj9GyZUvEx8dj7969po/UILt27cKtt96Kjh07IigoCNnZ2XXutywLc+bMQVRUFFq1aoXExEQcPnzYzGEvUFpaGq6//nq0adMGV1xxBZKSknDo0KE6a6qrqzFx4kS0b98el112GcaMGYPy8qY1wzQjIwO9e/f2/OV4QkIC3nnnHc/9gXCN37VgwQIEBQVh2rRpnlggXOfjjz+OoKCgOrfY2FjP/YFwjf/y97//Hb/4xS/Qvn17tGrVCr169cK+ffs891/sn0F+m4D++Mc/YsaMGZg7dy7y8/PRp08fDB8+HMePHzd9tAt26tQp9OnTB+np6eL9zzzzDJYsWYJly5YhNzcXrVu3xvDhw1FdrXTZ9kM7d+7ExIkTsWfPHrz77rtwu90YNmwYTp065Vkzffp0bNy4EVlZWdi5cyeOHTuG0aNHGzy19zp16oQFCxYgLy8P+/btw9ChQzFq1Ch88sknAALjGv/TBx98gJdeegm9e/euEw+U67z22mtRWlrqueXk5HjuC5Rr/OabbzBw4EA4HA688847OHjwIBYuXIjLL7/cs+ai/wyy/NSAAQOsiRMnev597tw5q2PHjlZaWprBU/kOAGv9+vWef9fW1lqRkZHWs88+64mdOHHCCgkJsV577TUDJ/SN48ePWwCsnTt3WpZ1/pocDoeVlZXlWfPpp59aAKzdu3ebOqZPXH755daKFSsC7hpPnjxpdevWzXr33Xetn/70p9bUqVMtywqc53Lu3LlWnz59xPsC5Roty7IeffRRa9CgQer9Jn4G+eUroDNnziAvLw+JiYmeWLNmzZCYmIjdu3cbPFnjOXr0KMrKyupcs9PpRHx8fJO+ZpfLBQBo164dACAvLw9ut7vOdcbGxiImJqbJXue5c+eQmZmJU6dOISEhIeCuceLEiRg5cmSd6wEC67k8fPgwOnbsiCuvvBLjx49HcXExgMC6xrfeegv9+/fH2LFjccUVV6Bv375Yvny5534TP4P8MgFVVFTg3LlziIiIqBOPiIhAWVmZoVM1rn9dVyBdc21tLaZNm4aBAweiZ8+eAM5fZ3BwMMLCwuqsbYrXWVBQgMsuuwwhISGYMGEC1q9fjx49egTUNWZmZiI/Px9paWm2+wLlOuPj47F69Wps3rwZGRkZOHr0KG688UacPHkyYK4RAD7//HNkZGSgW7du2LJlC1JSUjBlyhSsWbMGgJmfQX43joECx8SJE3HgwIE6v08PJNdccw0+/PBDuFwuvPHGG0hOTsbOnTtNH8tnSkpKMHXqVLz77rto2bKl6eM0mhEjRnj+u3fv3oiPj0fnzp3x+uuvo1WrVgZP5lu1tbXo378/5s+fDwDo27cvDhw4gGXLliE5OdnImfzyFVB4eDiaN29uqzQpLy9HZGSkoVM1rn9dV6Bc86RJk/D2229j+/btdSYiRkZG4syZMzhx4kSd9U3xOoODg3HVVVehX79+SEtLQ58+ffD8888HzDXm5eXh+PHjiIuLQ4sWLdCiRQvs3LkTS5YsQYsWLRAREREQ1/ldYWFhuPrqq3HkyJGAeS4BICoqCj169KgT6969u+fXjSZ+BvllAgoODka/fv2wbds2T6y2thbbtm1DQkKCwZM1ni5duiAyMrLONVdWViI3N7dJXbNlWZg0aRLWr1+P9957D126dKlzf79+/eBwOOpc56FDh1BcXNykrlNSW1uLmpqagLnGm266CQUFBfjwww89t/79+2P8+PGe/w6E6/yub7/9FkVFRYiKigqY5xIABg4caPuTiM8++wydO3cGYOhnUKOUNvhAZmamFRISYq1evdo6ePCg9eCDD1phYWFWWVmZ6aNdsJMnT1r79++39u/fbwGwFi1aZO3fv9/64osvLMuyrAULFlhhYWHWhg0brI8//tgaNWqU1aVLF+v06dOGT15/KSkpltPptHbs2GGVlpZ6blVVVZ41EyZMsGJiYqz33nvP2rdvn5WQkGAlJCQYPLX3Zs2aZe3cudM6evSo9fHHH1uzZs2ygoKCrK1bt1qWFRjXKPnPKjjLCozrnDlzprVjxw7r6NGj1vvvv28lJiZa4eHh1vHjxy3LCoxrtCzL2rt3r9WiRQvr6aeftg4fPmy9+uqrVmhoqPXKK6941lzsn0F+m4Asy7JeeOEFKyYmxgoODrYGDBhg7dmzx/SRGmT79u0WANstOTnZsqzzZZCzZ8+2IiIirJCQEOumm26yDh06ZPbQXpKuD4C1atUqz5rTp09bDz30kHX55ZdboaGh1m233WaVlpaaO/QF+OUvf2l17tzZCg4Otjp06GDddNNNnuRjWYFxjZLvJqBAuM5x48ZZUVFRVnBwsPWjH/3IGjdunHXkyBHP/YFwjf+yceNGq2fPnlZISIgVGxtrvfzyy3Xuv9g/gzgPiIiIjPDL94CIiCjwMQEREZERTEBERGQEExARERnBBEREREYwARERkRFMQEREZAQTEBERGcEERERERjABERGREUxARERkxP8Hdj5LS7IipbQAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "normalise_means = [0.4914, 0.4822, 0.4465]\n", "normalise_stds = [0.2023, 0.1994, 0.2010]\n", "\n", "def normalise_image(image):\n", " image = image.copy()\n", " for i in range(3):\n", " image[:, i, :, :] = (image[:, i, :, :] - normalise_means[i]) / normalise_stds[i]\n", " return image\n", "\n", "image = normalise_image(image)\n", "plt.imshow(image[0].transpose(1, 2, 0))" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Predicting the class and comparing it to ground truth" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Prediction: Highway\n" ] } ], "source": [ "onnx_path = '../models/model.onnx'\n", "session = rt.InferenceSession(onnx_path)\n", "input_name = session.get_inputs()[0].name\n", "output_name = session.get_outputs()[0].name\n", "\n", "pred_onx = session.run([output_name], {input_name: image})[0]\n", "class_pred = np.argmax(pred_onx)\n", "\n", "bird_name_map = json.load(open('../models/idx_to_class.json'))\n", "\n", "print(\"Prediction:\", bird_name_map[str(class_pred)])" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.10.6 64-bit", "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": "3.10.6" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1" } } }, "nbformat": 4, "nbformat_minor": 2 }