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"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "51c8a899",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting tensorflow\n",
" Using cached tensorflow-2.19.0-cp312-cp312-win_amd64.whl.metadata (4.1 kB)\n",
"Collecting absl-py>=1.0.0 (from tensorflow)\n",
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"Installing collected packages: namex, libclang, flatbuffers, wrapt, wheel, werkzeug, termcolor, tensorboard-data-server, optree, opt-einsum, ml-dtypes, mdurl, markdown, h5py, google-pasta, gast, absl-py, tensorboard, markdown-it-py, astunparse, rich, keras, tensorflow\n",
"Successfully installed absl-py-2.2.2 astunparse-1.6.3 flatbuffers-25.2.10 gast-0.6.0 google-pasta-0.2.0 h5py-3.13.0 keras-3.9.2 libclang-18.1.1 markdown-3.8 markdown-it-py-3.0.0 mdurl-0.1.2 ml-dtypes-0.5.1 namex-0.0.9 opt-einsum-3.4.0 optree-0.15.0 rich-14.0.0 tensorboard-2.19.0 tensorboard-data-server-0.7.2 tensorflow-2.19.0 termcolor-3.1.0 werkzeug-3.1.3 wheel-0.45.1 wrapt-1.17.2\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n",
"[notice] A new release of pip is available: 25.0.1 -> 25.1.1\n",
"[notice] To update, run: python.exe -m pip install --upgrade pip\n"
]
}
],
"source": [
"!pip install tensorflow"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "48087332",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting tensorflow_hub\n",
" Downloading tensorflow_hub-0.16.1-py2.py3-none-any.whl.metadata (1.3 kB)\n",
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]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n",
"[notice] A new release of pip is available: 25.0.1 -> 25.1.1\n",
"[notice] To update, run: python.exe -m pip install --upgrade pip\n"
]
}
],
"source": [
"!pip install tensorflow_hub"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7c0b03c7",
"metadata": {},
"outputs": [],
"source": [
"import tensorflow as tf\n",
"import tensorflow_hub as hub\n",
"import numpy as np\n",
"from PIL import Image, ImageDraw, ImageFont, ImageOps\n",
"import requests\n",
"from io import BytesIO"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c3a51cfb",
"metadata": {},
"outputs": [],
"source": [
"# Load the model from TF Hub\n",
"detector = hub.load(\"https://tfhub.dev/google/openimages_v4/ssd/mobilenet_v2/1\").signatures['default']\n",
"\n",
"# Classes you care about\n",
"TARGET_CLASSES = set([\"Food processor\", \"Fast food\", \"Food\", \"Seafood\", \"Snack\"])\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def load_image_from_url(url, size=(640, 480)):\n",
" response = requests.get(url)\n",
" img = Image.open(BytesIO(response.content)).convert(\"RGB\")\n",
" img = ImageOps.fit(img, size, Image.Resampling.LANCZOS)\n",
" return img\n"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "252c3890",
"metadata": {},
"outputs": [],
"source": [
"\n",
"def run_object_detection(image: Image.Image):\n",
" image_np = np.array(image)\n",
" # Convert to tensor without specifying dtype\n",
" input_tensor = tf.convert_to_tensor(image_np)[tf.newaxis, ...]\n",
" # Convert to float32 and normalize to [0,1]\n",
" input_tensor = tf.cast(input_tensor, tf.float32) / 255.0\n",
" results = detector(input_tensor)\n",
" results = {k: v.numpy() for k, v in results.items()}\n",
" return results, image_np\n",
"\n",
"def get_filtered_class_boxes(results):\n",
" # for same class, keep the one with the highest score\n",
" # and remove duplicates\n",
" boxes = []\n",
" classes = []\n",
" scores = []\n",
" \n",
" for i in range(len(results[\"detection_scores\"])):\n",
" class_name = results[\"detection_class_entities\"][i].decode(\"utf-8\")\n",
" box = results[\"detection_boxes\"][i]\n",
" score = results[\"detection_scores\"][i]\n",
" if class_name in TARGET_CLASSES:\n",
" if class_name not in classes:\n",
" boxes.append(box)\n",
" classes.append(class_name)\n",
" scores.append(score)\n",
" else:\n",
" index = classes.index(class_name)\n",
" if score > scores[index]:\n",
" boxes[index] = box\n",
" classes[index] = class_name\n",
" scores[index] = score\n",
" return boxes, classes, scores\n"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "78a3a69e",
"metadata": {},
"outputs": [],
"source": [
"\n",
"def crop_and_save(image_np, boxes, class_names, scores, min_score=0.3):\n",
" cropped_images = []\n",
" for i in range(len(scores)):\n",
" if scores[i] > min_score:\n",
" ymin, xmin, ymax, xmax = boxes[i]\n",
" im_width, im_height = image_np.shape[1], image_np.shape[0]\n",
" (left, right, top, bottom) = (xmin * im_width, xmax * im_width,\n",
" ymin * im_height, ymax * im_height)\n",
" cropped_image = image_np[int(top):int(bottom), int(left):int(right)]\n",
" cropped_images.append((cropped_image, class_names[i], scores[i]))\n",
" # Save the cropped image\n",
" pil_image = Image.fromarray(cropped_image)\n",
" pil_image.save(f\"output/{class_names[i]}_{scores[i]:.2f}.jpg\")\n",
" return cropped_images\n",
"\n",
"def draw_boxes(image_np, boxes, class_names, scores, min_score=0.3):\n",
" image_pil = Image.fromarray(image_np)\n",
" draw = ImageDraw.Draw(image_pil)\n",
" font = ImageFont.load_default()\n",
"\n",
" for i in range(len(scores)):\n",
" label = class_names[i]\n",
" print(label, scores[i])\n",
" if label in TARGET_CLASSES and scores[i] > min_score:\n",
" ymin, xmin, ymax, xmax = boxes[i]\n",
" im_width, im_height = image_pil.size\n",
" (left, right, top, bottom) = (xmin * im_width, xmax * im_width,\n",
" ymin * im_height, ymax * im_height)\n",
" draw.rectangle([left, top, right, bottom], outline=\"red\", width=2)\n",
" draw.text((left, top), f\"{label}: {scores[i]*100:.1f}%\", fill=\"white\", font=font)\n",
" return image_pil"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "ca9b4269",
"metadata": {},
"outputs": [],
"source": [
"def detect_and_display(image):\n",
" results, image_np = run_object_detection(image)\n",
" \n",
" final_image = draw_boxes(image_np,\n",
" results[\"detection_boxes\"],\n",
" results[\"detection_class_entities\"],\n",
" results[\"detection_scores\"])\n",
" final_image.show()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "9c01a9b8",
"metadata": {},
"outputs": [],
"source": [
"def detect_and_save(image):\n",
" results, image_np = run_object_detection(image)\n",
" boxes, class_names, scores = get_filtered_class_boxes(results)\n",
" cropped_images = crop_and_save(image_np, boxes, class_names, scores,0)\n",
" return cropped_images"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cf36b5e9",
"metadata": {},
"outputs": [],
"source": [
"detect_and_display(\n",
" image = Image.open(\"bv.jpg\").convert(\"RGB\"))"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "e519e2f9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[(array([[[122, 113, 108],\n",
" [123, 114, 109],\n",
" [123, 114, 109],\n",
" ...,\n",
" [150, 141, 136],\n",
" [150, 141, 136],\n",
" [151, 142, 137]],\n",
" \n",
" [[122, 113, 108],\n",
" [123, 114, 109],\n",
" [123, 114, 109],\n",
" ...,\n",
" [150, 141, 136],\n",
" [150, 141, 136],\n",
" [151, 142, 137]],\n",
" \n",
" [[122, 113, 108],\n",
" [123, 114, 109],\n",
" [123, 114, 109],\n",
" ...,\n",
" [150, 141, 136],\n",
" [150, 141, 136],\n",
" [151, 142, 137]],\n",
" \n",
" ...,\n",
" \n",
" [[ 68, 31, 25],\n",
" [ 69, 31, 28],\n",
" [ 66, 31, 27],\n",
" ...,\n",
" [128, 119, 114],\n",
" [128, 119, 114],\n",
" [126, 117, 112]],\n",
" \n",
" [[ 64, 29, 23],\n",
" [ 64, 29, 25],\n",
" [ 62, 28, 26],\n",
" ...,\n",
" [127, 120, 114],\n",
" [126, 119, 113],\n",
" [126, 119, 113]],\n",
" \n",
" [[ 62, 29, 24],\n",
" [ 58, 27, 24],\n",
" [ 58, 27, 24],\n",
" ...,\n",
" [125, 118, 112],\n",
" [125, 118, 112],\n",
" [122, 115, 109]]], dtype=uint8),\n",
" 'Snack',\n",
" np.float32(0.2383132))]"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"detect_and_save(\n",
" image = Image.open(\"bv.jpg\").convert(\"RGB\"))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a84975ba",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "venv",
"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": "3.12.8"
}
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"nbformat_minor": 5
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|