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{
"cells": [
{
"cell_type": "code",
"source": [
"import json\n",
"\n",
"from enum import StrEnum\n",
"\n",
"import numpy as np\n",
"from PIL import Image\n",
"from scipy.special import softmax\n",
"from torch import Tensor\n",
"from torch.jit import RecursiveScriptModule\n",
"from torchvision import transforms\n",
"\n",
"from IPython.display import display, HTML\n",
"\n",
"import torch"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2025-11-10T21:15:01.207611Z",
"start_time": "2025-11-10T21:15:01.205436Z"
}
},
"id": "15c69cabd27e8626",
"outputs": [],
"execution_count": 10
},
{
"cell_type": "code",
"source": [
"class PHOTO_FRAMING(StrEnum):\n",
" FRONT = \"front\"\n",
" BACK = \"back\"\n",
" SIDE_VIEW = \"side_view\"\n",
" THREE_FOURTH = \"three_fourth\"\n",
" INSIDE = \"inside\"\n",
" CLOSEUP = \"closeup\"\n",
" LABEL = \"label\"\n",
" OTHERS = \"others\"\n",
"\n",
"\n",
"AiPredictionByFraming = list[dict[PHOTO_FRAMING, float]]"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2025-11-10T21:15:01.265847Z",
"start_time": "2025-11-10T21:15:01.263362Z"
}
},
"id": "f1cffed5763919d5",
"outputs": [],
"execution_count": 12
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-11-10T21:15:01.312581Z",
"start_time": "2025-11-10T21:15:01.308237Z"
}
},
"cell_type": "code",
"source": [
"def normalize_neural_network_output(neural_network_output: np.ndarray) -> list[float]:\n",
" return softmax(neural_network_output).tolist()\n",
"\n",
"\n",
"def predict_neural_network(neural_network_input: Tensor, neural_network_model: RecursiveScriptModule) -> list[\n",
" list[float]]:\n",
" with torch.no_grad():\n",
" all_outputs = neural_network_model(neural_network_input).tolist()\n",
"\n",
" normalized_neural_network_output = list(map(normalize_neural_network_output, all_outputs))\n",
" return normalized_neural_network_output\n",
"\n",
"\n",
"def format_output(neural_network_output: list, labels_to_output_index: list) -> list[dict]:\n",
" results = []\n",
" for i, a_nn_output in enumerate(neural_network_output):\n",
" results.append(\n",
" {\n",
" 'probabilities_neural_network': {\n",
" labels_to_output_index[j]: p for j, p in enumerate(a_nn_output)\n",
" },\n",
" })\n",
" return results\n",
"\n",
"\n",
"def format_pils_images(pil_images: list[Image.Image]) -> Tensor:\n",
" pil_images_transformed = []\n",
"\n",
" transform = transforms.Compose([\n",
" transforms.Resize((256, 256)),\n",
" transforms.ToTensor(),\n",
" transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),\n",
" ])\n",
"\n",
" for a_pil_image in pil_images:\n",
" a_pil_image = transform(a_pil_image)\n",
" pil_images_transformed.append(a_pil_image.unsqueeze(0))\n",
"\n",
" return torch.cat(pil_images_transformed, dim=0)\n",
"\n",
"\n",
"def predict(pil_images: list[Image.Image],\n",
" labels_to_output_index: list,\n",
" neural_network_model: RecursiveScriptModule\n",
") -> list[dict]:\n",
" neural_network_input = format_pils_images(pil_images)\n",
" neural_network_output = predict_neural_network(neural_network_input, neural_network_model)\n",
" return format_output(neural_network_output, labels_to_output_index)\n"
],
"id": "7a05d1015a88e18c",
"outputs": [],
"execution_count": 13
},
{
"cell_type": "code",
"source": [
"neural_network_model = torch.jit.load('shared/model_scripted.pt')\n",
"\n",
"with open('shared/labels_to_output_index.json', 'r') as fp:\n",
" labels_to_output_index = json.load(fp)\n",
"\n",
"\n",
"def get_picture_framing_prediction(images_pil: list[Image.Image]) -> AiPredictionByFraming:\n",
" ai_prediction_scores = predict(images_pil,\n",
" labels_to_output_index,\n",
" neural_network_model)\n",
" ai_prediction_by_framing = [p['probabilities_neural_network'] for p in ai_prediction_scores]\n",
"\n",
" return ai_prediction_by_framing"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2025-11-10T21:15:01.535844Z",
"start_time": "2025-11-10T21:15:01.355615Z"
}
},
"id": "41d6a1305c8f992b",
"outputs": [],
"execution_count": 14
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-11-10T21:15:01.575230Z",
"start_time": "2025-11-10T21:15:01.563426Z"
}
},
"cell_type": "code",
"source": [
"image_paths = [\"assets/dress-drm-free/1.jpeg\",\n",
" \"assets/dress-drm-free/2.jpeg\",\n",
" \"assets/dress-drm-free/3.jpeg\",\n",
" \"assets/dress-drm-free/4.jpeg\",\n",
" \"assets/label-difficult/1.jpeg\",\n",
" \"assets/label-difficult/2.jpeg\",\n",
" \"assets/label-difficult/3.jpeg\",\n",
" \"assets/label-difficult/4.jpeg\",\n",
" \"assets/label-difficult/5.jpeg\",\n",
" \"assets/saint-james-coat/1.jpeg\",\n",
" \"assets/saint-james-coat/2.jpeg\",\n",
" \"assets/saint-james-coat/3.jpeg\",\n",
" \"assets/saint-james-coat/4.jpeg\",\n",
" \"assets/saint-james-coat/5.jpeg\"]\n",
"input_images = [Image.open(one_image_path) for one_image_path in image_paths]"
],
"id": "3f7877aba0b830c9",
"outputs": [],
"execution_count": 15
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-11-10T21:15:02.393613Z",
"start_time": "2025-11-10T21:15:01.613188Z"
}
},
"cell_type": "code",
"source": [
"predictions = get_picture_framing_prediction(input_images)\n",
"prediction_texts = []\n",
"\n",
"for one_image_prediction in predictions:\n",
" max_key = max(one_image_prediction, key=one_image_prediction.get)\n",
" max_value = one_image_prediction[max_key]\n",
"\n",
" one_image_predictions = []\n",
" for key, value in one_image_prediction.items():\n",
" one_image_text = f\"{key}: {value:.3f}\"\n",
" if key == max_key:\n",
" one_image_text = f\"<b>{one_image_text}</b>\"\n",
" one_image_predictions.append(one_image_text)\n",
"\n",
" prediction_texts.append(\"<br/>\".join(one_image_predictions))"
],
"id": "cda1d624454cda79",
"outputs": [],
"execution_count": 16
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-11-10T21:15:02.400026Z",
"start_time": "2025-11-10T21:15:02.396874Z"
}
},
"cell_type": "code",
"source": [
"html = \"<div style='display: flex; flex-direction: column;'>\"\n",
"for img_path, text in zip(image_paths, prediction_texts):\n",
" html += f\"\"\"\n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='{img_path}' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>{text}</p>\n",
" </div>\n",
" </div>\n",
" \"\"\"\n",
"html += \"</div>\"\n",
"display(HTML(html))"
],
"id": "c6a4c569aa8d6213",
"outputs": [
{
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"<div style='display: flex; flex-direction: column;'>\n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/dress-drm-free/1.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.000<br/>closeup: 0.000<br/><b>front: 1.000</b><br/>inside: 0.000<br/>label: 0.000<br/>others: 0.000<br/>side_view: 0.000<br/>three_fourth: 0.000</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/dress-drm-free/2.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.001<br/>closeup: 0.000<br/>front: 0.008<br/>inside: 0.000<br/>label: 0.000<br/>others: 0.000<br/><b>side_view: 0.991</b><br/>three_fourth: 0.000</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/dress-drm-free/3.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.014<br/>closeup: 0.000<br/>front: 0.000<br/>inside: 0.000<br/>label: 0.000<br/>others: 0.000<br/>side_view: 0.001<br/><b>three_fourth: 0.985</b></p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/dress-drm-free/4.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.000<br/><b>closeup: 1.000</b><br/>front: 0.000<br/>inside: 0.000<br/>label: 0.000<br/>others: 0.000<br/>side_view: 0.000<br/>three_fourth: 0.000</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/label-difficult/1.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.003<br/>closeup: 0.000<br/><b>front: 0.997</b><br/>inside: 0.000<br/>label: 0.000<br/>others: 0.000<br/>side_view: 0.000<br/>three_fourth: 0.000</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/label-difficult/2.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p><b>back: 0.943</b><br/>closeup: 0.000<br/>front: 0.057<br/>inside: 0.000<br/>label: 0.000<br/>others: 0.000<br/>side_view: 0.000<br/>three_fourth: 0.000</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/label-difficult/3.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.192<br/>closeup: 0.315<br/><b>front: 0.442</b><br/>inside: 0.000<br/>label: 0.048<br/>others: 0.001<br/>side_view: 0.000<br/>three_fourth: 0.002</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/label-difficult/4.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p><b>back: 1.000</b><br/>closeup: 0.000<br/>front: 0.000<br/>inside: 0.000<br/>label: 0.000<br/>others: 0.000<br/>side_view: 0.000<br/>three_fourth: 0.000</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/label-difficult/5.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.000<br/><b>closeup: 0.971</b><br/>front: 0.000<br/>inside: 0.000<br/>label: 0.028<br/>others: 0.000<br/>side_view: 0.000<br/>three_fourth: 0.000</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/saint-james-coat/1.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.000<br/>closeup: 0.000<br/><b>front: 0.932</b><br/>inside: 0.000<br/>label: 0.000<br/>others: 0.065<br/>side_view: 0.002<br/>three_fourth: 0.000</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/saint-james-coat/2.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.327<br/>closeup: 0.014<br/><b>front: 0.376</b><br/>inside: 0.001<br/>label: 0.000<br/>others: 0.000<br/>side_view: 0.271<br/>three_fourth: 0.011</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/saint-james-coat/3.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.000<br/><b>closeup: 1.000</b><br/>front: 0.000<br/>inside: 0.000<br/>label: 0.000<br/>others: 0.000<br/>side_view: 0.000<br/>three_fourth: 0.000</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/saint-james-coat/4.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.000<br/>closeup: 0.266<br/>front: 0.004<br/>inside: 0.000<br/><b>label: 0.729</b><br/>others: 0.000<br/>side_view: 0.000<br/>three_fourth: 0.000</p>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style='display: flex; align-items: center; margin: 10px;'>\n",
" <div style='margin-right: 20px;'>\n",
" <img src='assets/saint-james-coat/5.jpeg' style='max-width: 200px; max-height: 200px;' />\n",
" </div>\n",
" <div style='text-align: left;'>\n",
" <p>back: 0.000<br/>closeup: 0.000<br/>front: 0.000<br/>inside: 0.000<br/><b>label: 1.000</b><br/>others: 0.000<br/>side_view: 0.000<br/>three_fourth: 0.000</p>\n",
" </div>\n",
" </div>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 17
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-11-10T21:15:02.510927Z",
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"cell_type": "code",
"source": "",
"id": "9d18593f866478ec",
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],
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"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
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|