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"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "GJBs_flRovLc"
},
"source": [
"***Devision789***\n",
"\n",
"**https://github.com/Devision789**\n",
"\n",
"***Δα»C Sα» THΓNG TRΓN CONTAINER ***\n",
"\n",
"lưu ý nếu cÑc bẑn chẑy local thì xem xét trang github inference\n",
"yΓͺu cαΊ§u bαΊ£n python vΓ cΓ i ΔΓΊng nαΊΏu bαΊ£n python khΓ΄ng phΓΉ hợp thΓ¬ hα» thα»ng sαΊ½ bΓ‘o lα»i no module name distubils ( cΓ³ thα» package khΓ‘c mΓ¬nh quΓͺn tΓͺn nΓ³ rα»i )\n",
"Mα»i ngΖ°α»i cαΊ§n hα» trợ vα» vαΊ₯n Δα» gΓ¬ cΓ³ thα» liΓͺn hα» mΓ¬nh.\n"
]
},
{
"cell_type": "code",
"source": [
"pip install inference"
],
"metadata": {
"id": "bN9p2OeRT6aP",
"outputId": "217e8e8e-8598-4142-af3f-edbdedeeeeb5",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting inference\n",
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"Building wheels for collected packages: GPUtil\n",
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"Successfully installed APScheduler-3.10.1 GPUtil-1.4.0 aioresponses-0.7.6 awscli-1.33.24 backoff-2.2.1 boto3-1.34.123 botocore-1.34.142 colorama-0.4.4 coloredlogs-15.0.1 cython-3.0.0 dataclasses-json-0.6.7 docker-6.1.3 docutils-0.16 fastapi-0.110.3 h11-0.14.0 httpcore-1.0.5 httpx-0.27.0 humanfriendly-10.0 inference-0.13.0 jmespath-1.0.1 marshmallow-3.21.3 mypy-extensions-1.0.0 onnxruntime-1.15.1 openai-1.35.12 pendulum-3.0.0 piexif-1.1.3 prometheus-fastapi-instrumentator-6.0.0 pulp-2.8.0 pybase64-1.3.2 pydot-2.0.0 pytest-asyncio-0.21.1 python-dotenv-1.0.1 redis-5.0.7 requests-toolbelt-1.0.0 rich-13.5.2 rsa-4.7.2 s3transfer-0.10.2 skypilot-0.5.0 starlette-0.37.2 structlog-24.2.0 supervision-0.21.0 time-machine-2.14.2 typer-0.9.0 typing-inspect-0.9.0 urllib3-1.26.19 zxing-cpp-2.2.0\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"pip install pandas"
],
"metadata": {
"id": "2hniGep2Wx_S",
"outputId": "565f27fd-68f0-4a8a-9ec0-e97ee682e4d4",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.0.3)\n",
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]
}
]
},
{
"cell_type": "code",
"source": [
"import os\n",
"import pandas as pd\n",
"from inference_sdk import InferenceHTTPClient\n",
"\n",
"# Khα»i tαΊ‘o khΓ‘ch hΓ ng inference\n",
"CLIENT = InferenceHTTPClient(\n",
" api_url=\"https://infer.roboflow.com\",\n",
" api_key=\"............\" # thay bαΊ±ng api cα»§a bαΊ‘n\n",
")\n",
"\n",
"# Danh sΓ‘ch cΓ‘c αΊ£nh cαΊ§n xα» lΓ½\n",
"image_files = [\n",
" \"/content/tim-hieu-ve-ky-hieu-cac-loai-container-4.jpg\",\n",
" \"/content/vi-tri-seal-niem-phong-tren-container.jpg\",\n",
" \"/content/59ae0d3728579_1504578871.jpg\",\n",
" \"/content/60b9d63a33954_1622791738.jpeg\",\n",
" \"/content/cuΜΜa-container.jpg\"\n",
"\n",
" # ThΓͺm ΔΖ°α»ng dαΊ«n ΔαΊΏn cΓ‘c αΊ£nh khΓ‘c α» ΔΓ’y\n",
"]\n",
"\n",
"# ΔΖ°α»ng dαΊ«n tα»i file Excel\n",
"excel_file_path = \"/content/container_data3.xlsx\"\n",
"\n",
"# HΓ m Δα» phΓ’n tΓch kαΊΏt quαΊ£ OCR\n",
"def parse_ocr_result(result, image_name):\n",
" return {\n",
" \"Image Name\": image_name,\n",
" \"Result\": result.get(\"result\", \"\"),\n",
" \"Time\": result.get(\"time\", \"\"),\n",
" \"Parent ID\": result.get(\"parent_id\", \"\")\n",
" }\n",
"\n",
"# HΓ m Δα» thΓͺm dα»― liα»u vΓ o file Excel\n",
"def append_to_excel(df, file_path):\n",
" if os.path.exists(file_path):\n",
" # NαΊΏu file tα»n tαΊ‘i, thΓͺm dα»― liα»u vΓ o file hiα»n cΓ³\n",
" existing_df = pd.read_excel(file_path)\n",
" updated_df = pd.concat([existing_df, df], ignore_index=True)\n",
" else:\n",
" # NαΊΏu file khΓ΄ng tα»n tαΊ‘i, tαΊ‘o mα»t DataFrame mα»i\n",
" updated_df = df\n",
"\n",
" # LΖ°u DataFrame ΔΓ£ cαΊp nhαΊt vΓ o file Excel\n",
" updated_df.to_excel(file_path, index=False)\n",
"\n",
"# Danh sΓ‘ch Δα» lΖ°u cΓ‘c kαΊΏt quαΊ£ ΔΓ£ phΓ’n tΓch\n",
"all_data = []\n",
"\n",
"# LαΊ·p qua cΓ‘c αΊ£nh vΓ thα»±c hiα»n OCR\n",
"for image_file in image_files:\n",
" # Thα»±c hiα»n OCR trΓͺn αΊ£nh\n",
" result = CLIENT.ocr_image(inference_input=image_file)\n",
"\n",
" # In kαΊΏt quαΊ£\n",
" print(result)\n",
"\n",
" # PhΓ’n tΓch kαΊΏt quαΊ£ OCR\n",
" parsed_data = parse_ocr_result(result, os.path.basename(image_file))\n",
" all_data.append(parsed_data)\n",
"\n",
"# TαΊ‘o DataFrame tα»« tαΊ₯t cαΊ£ cΓ‘c kαΊΏt quαΊ£ ΔΓ£ phΓ’n tΓch\n",
"df = pd.DataFrame(all_data)\n",
"\n",
"# ThΓͺm dα»― liα»u ΔΓ£ phΓ’n tΓch vΓ o file Excel\n",
"append_to_excel(df, excel_file_path)\n",
"\n",
"print(f\"Dα»― liα»u ΔΓ£ Δược lΖ°u vΓ o {excel_file_path}\")\n"
],
"metadata": {
"id": "mP56tRFJZRGW",
"outputId": "87fd63e7-2151-47ab-d49d-063995e34940",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"{'result': 'BRINNBOX a OMAS - w BNDOX - 606071 6 2261 MAX.GROSS TARE 30.480 KGS 67.200 LBS 2.185 KGS 4.820 LBS 62.380 LBS 33.2 CU.M. 1.173 CU.FT MAX.CARGO 28.295 KGS : CU.CAP.', 'time': 1.513302848999956, 'parent_id': None}\n",
"{'result': 'TWCU 216664 6 2261 30 480 kg 67 200 Ib 2100 kg 4630 Ib 28 380 kg S 62570 Ib JJ MAX GROSS TARE WWW. jjsh pping.cn PAYLOAD B9 CU. CAP. - 33.2 cu.m. 1172 cu.ft. SINGAMAS', 'time': 1.5103129280000758, 'parent_id': None}\n",
"{'result': 'GLDU 053631 3 45G1 MGW. TARE NET CU.CAP 30.480 KGS 61.200 LES 3.929 8.640 E KES 3A5B LOS 76.2 CUM 2,690 CUFT 516161 7 42G1 32508 K5S 71650 LBS 3708 AES 8168 LBS 28M S 63482 LBS 878 CM 2394 CUFI. GOLD CNTNERODAF - 2 UTION HIGH TRAILER - -u', 'time': 1.6298546919997534, 'parent_id': None}\n",
"{'result': 'KFS www.flo ens.com 32500 71.650 LB 3.720 5 8.200 22780 M 63.450 LB 67.7 CUM 2390 CUFT. MAX GROSS TARE - MAX CARGO a CAP. -', 'time': 1.4038100689999737, 'parent_id': None}\n",
"{'result': 'NZLU 218146 2 22G1 30,480 KGS 67.200 LBS 2,120 KGS 4.670 LBS 28.360 KGS C. 62.530 LBS MAX.GROSS TARE cao EL-NET 33.2 CU.M. 1.170 CU.FT. CU CAP. INTE RNATIONAL LUXURY CONTAINER CIMC a', 'time': 1.4752892129999964, 'parent_id': None}\n",
"Dα»― liα»u ΔΓ£ Δược lΖ°u vΓ o /content/container_data3.xlsx\n"
]
}
]
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
}
},
"nbformat": 4,
"nbformat_minor": 0
} |