Create frontPrompt.py
Browse files- frontPrompt.py +216 -0
frontPrompt.py
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import numpy as np
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import torch
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import torchvision.transforms as T
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from decord import VideoReader, cpu
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from PIL import Image
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from torchvision.transforms.functional import InterpolationMode
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from transformers import AutoModel, AutoTokenizer
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IMAGENET_MEAN = (0.485, 0.456, 0.406)
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IMAGENET_STD = (0.229, 0.224, 0.225)
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def build_transform(input_size):
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MEAN, STD = IMAGENET_MEAN, IMAGENET_STD
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transform = T.Compose([
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T.Lambda(lambda img: img.convert('RGB') if img.mode != 'RGB' else img),
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T.Resize((input_size, input_size), interpolation=InterpolationMode.BICUBIC),
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T.ToTensor(),
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T.Normalize(mean=MEAN, std=STD)
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])
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return transform
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def load_image(image_file, input_size=800, max_num=12):
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image = Image.open(image_file).convert('RGB')
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transform = build_transform(input_size=input_size)
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pixel_values = [transform(image) for image in images]
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pixel_values = torch.stack(pixel_values)
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return pixel_values
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def main(image_path):
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path = "OpenGVLab/InternVL2_5-4B"
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model = AutoModel.from_pretrained(
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path,
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torch_dtype=torch.bfloat16,
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load_in_8bit=True,
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low_cpu_mem_usage=True,
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use_flash_attn=True,
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trust_remote_code=True).eval()
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tokenizer = AutoTokenizer.from_pretrained(path, trust_remote_code=True, use_fast=False)
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pixel_values = load_image(image_path, max_num=12).to(torch.bfloat16).cuda()
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generation_config = dict(max_new_tokens=1024, do_sample=True)
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question = """<image>\n**Instruction:**
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Analyze the image to extract values for the specified keys. Use the detailed descriptions below to determine the correct value for each key. Handle missing or ambiguous data as instructed.
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---
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### Keys and Descriptions
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1. **`surat_tanda_nomor_kendaraan_bermotor`**
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- **Extract**: The value of the field labeled as "Surat Tanda Nomor Kendaraan Bermotor" and this is titel.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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2. **`tempat_tanggal`**
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- **Extract**: The location and date from the top right corner of the document.
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- **Note**: This field does not have a title such as "Tempat - Tanggal."
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- **Format**: `"CITY, DD MMM YYYY"` (e.g., `"JAKARTA, 07 DES 2018"`).
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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3. **`no`**
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- **Extract**: The value in the "NO" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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4. **`nomor_registrasi`**
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- **Extract**: The "NOMOR REGISTRASI" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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5. **`nama_pemilik`**
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- **Extract**: The "NAMA PEMILIK" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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6. **`alamat`**
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- **Extract**: The "ALAMAT" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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7. **`merk`**
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- **Extract**: The "MERK" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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8. **`type`**
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- **Extract**: The "TYPE" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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9. **`jenis`**
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- **Extract**: The "JENIS" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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10. **`model`**
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- **Extract**: The "MODEL" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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11. **`tahun_pembuatan`**
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- **Extract**: The "TAHUN PEMBUATAN" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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12. **`isi_silinder_daya_listrik`**
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- **Extract**: The "ISI SILINDER / DAYA LISTRIK" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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13. **`nomor_rangka`**
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- **Extract**: The "NOMOR RANGKA" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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14. **`nomor_mesin`**
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- **Extract**: The "NOMOR MESIN" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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15. **`nik_tdp_nie_kitas_kitap`**
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- **Extract**: The "NIK/TDP/NIE/KITAS/KITAP" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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16. **`warna`**
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- **Extract**: The "WARNA" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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17. **`bahan_bakar`**
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- **Extract**: The "BAHAN BAKAR" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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18. **`warna_tnkb`**
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- **Extract**: The "WARNA TNKB" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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19. **`tahun_registrasi`**
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- **Extract**: The "TAHUN REGISTRASI" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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20. **`nomor_bpkb`**
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- **Extract**: The "NOMOR BPKB" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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21. **`kode_lokasi`**
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- **Extract**: The "KODE LOKASI" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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22. **`no_urut_pendaftaran`**
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- **Extract**: The "NO URUT PENDAFTARAN" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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23. **`berlaku_sampai`**
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- **Extract**: The "BERLAKU SAMPAI" field.
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- **If the Field is Absent**: `"null"`
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- **If the Field is Present but No Value is Provided**: `"empty"`
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24. **`qr_code`**
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- **Extract**: The value encoded in the QR code, if present.
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- **If No QR Code is Found**: `"null"`
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- **If a QR Code is Present but Contains No Data**: `"empty"`
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---
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### Output Format
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```json
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{
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"surat_tanda_nomor_kendaraan_bermotor": "<value> OR empty OR null",
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"tempat_tanggal": "<value> OR empty OR null",
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"no": "<value> OR empty OR null",
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"nomor_registrasi": "<value> OR empty OR null",
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182 |
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"nama_pemilik": "<value> OR empty OR null",
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183 |
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"alamat": "<value> OR empty OR null",
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184 |
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"merk": "<value> OR empty OR null",
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"type": "<value> OR empty OR null",
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"jenis": "<value> OR empty OR null",
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"model": "<value> OR empty OR null",
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"tahun_pembuatan": "<value> OR empty OR null",
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"isi_silinder_daya_listrik": "<value> OR empty OR null",
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"nomor_rangka": "<value> OR empty OR null",
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"nomor_mesin": "<value> OR empty OR null",
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"nik_tdp_nie_kitas_kitap": "<value> OR empty OR null",
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"warna": "<value> OR empty OR null",
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"bahan_bakar": "<value> OR empty OR null",
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"warna_tnkb": "<value> OR empty OR null",
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"tahun_registrasi": "<value> OR empty OR null",
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"nomor_bpkb": "<value> OR empty OR null",
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"kode_lokasi": "<value> OR empty OR null",
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"no_urut_pendaftaran": "<value> OR empty OR null",
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"berlaku_sampai": "<value> OR empty OR null"
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"qr_code" : "<value> OR empty OR null"
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}
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### Reasoning Process
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For each key, explain your reasoning:
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Indicate whether the field was present.
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Justify the extracted value or the use of "null" or "empty" as per the conditions.
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Return Output:
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Generate a JSON object:
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{
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"reasoning": "reasoning for each key",
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"output JSON": "key-value pairs"
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}
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---
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"""
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response = model.chat(tokenizer, pixel_values, question, generation_config)
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return (f'User: {question}\nAssistant: {response}')
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