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import sys |
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sys.path.append('../') |
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import os |
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import gradio as gr |
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import json |
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import cv2 |
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import requests |
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import numpy as np |
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from PIL import Image |
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from engine.header import * |
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file_path = os.path.abspath(__file__) |
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dir_path = os.path.dirname(file_path) |
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root_path = os.path.dirname(dir_path) |
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device_id = get_deviceid().decode('utf-8') |
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print_info('\t <Hardware ID> \t\t {}'.format(device_id)) |
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css = """ |
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.example-image img{ |
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display: flex; /* Use flexbox to align items */ |
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justify-content: center; /* Center the image horizontally */ |
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align-items: center; /* Center the image vertically */ |
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height: 300px; /* Set the height of the container */ |
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object-fit: contain; /* Preserve aspect ratio while fitting the image within the container */ |
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} |
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.example-image img{ |
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display: flex; /* Use flexbox to align items */ |
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justify-content: center; /* Center the image horizontally */ |
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align-items: center; /* Center the image vertically */ |
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height: 300px; /* Set the height of the container */ |
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object-fit: contain; /* Preserve aspect ratio while fitting the image within the container */ |
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.block-background { |
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# background-color: #202020; /* Set your desired background color */ |
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border-radius: 5px; |
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} |
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} |
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""" |
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def find_key_in_dict(d, target_key): |
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for key, value in d.items(): |
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if key == target_key: |
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return value |
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elif isinstance(value, dict): |
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result = find_key_in_dict(value, target_key) |
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if result is not None: |
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return result |
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return None |
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def json_to_html_table(data, image_keys): |
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html = "<table border='1' style='border-collapse: collapse; width: 100%;'>" |
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for key, value in data.items(): |
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if isinstance(value, dict): |
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html += f"<tr><td colspan='2'><strong>{key}</strong></td></tr>" |
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for sub_key, sub_value in value.items(): |
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if sub_key in image_keys: |
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html += f"<tr><td>{sub_key}</td><td><img src='data:image/png;base64,{sub_value}' width = '200' height= '100' /></td></tr>" |
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else: |
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html += f"<tr><td>{sub_key}</td><td>{sub_value}</td></tr>" |
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else: |
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if key in image_keys: |
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html += f"<tr><td>{key}</td><td><img src='data:image/png;base64,{value}' width = '200' height= '100' /></td></tr>" |
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else: |
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html += f"<tr><td>{key}</td><td>{value}</td></tr>" |
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html += "</table>" |
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return html |
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def activate_sdk(): |
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online_key = os.environ.get("LICENSE_KEY") |
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offline_key_path = os.path.join(root_path, "license.txt") |
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dict_path = os.path.join(root_path, "engine/bin") |
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ret = -1 |
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if online_key is None: |
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print_warning("Online license key not found!") |
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else: |
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print_info(f"LICENSE_KEY: {online_key}") |
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activate_ret = set_activation(online_key.encode('utf-8')).decode('utf-8') |
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ret = json.loads(activate_ret).get("errorCode", None) |
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if ret == 0: |
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print_log("Successfully online activation SDK!") |
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else: |
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print_error(f"Failed to online activation SDK, Error code {ret}\n Trying offline activation SDK..."); |
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if os.path.exists(offline_key_path) is False: |
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print_warning("Offline license key file not found!") |
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print_error(f"Falied to offline activation SDK, Error code {ret}") |
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return ret |
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else: |
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file=open(offline_key_path,"r") |
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offline_key = file.read() |
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file.close() |
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activate_ret = set_activation(offline_key.encode('utf-8')).decode('utf-8') |
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ret = json.loads(activate_ret).get("errorCode", None) |
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if ret == 0: |
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print_log("Successfully offline activation SDK!") |
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else: |
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print_error(f"Falied to offline activation SDK, Error code {ret}") |
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return ret |
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init_ret = init_sdk(dict_path.encode('utf-8')).decode('utf-8') |
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ret = json.loads(activate_ret).get("errorCode", None) |
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print_log(f"Init SDK: {ret}") |
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return ret |
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def idcard_recognition(frame1, frame2): |
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global g_activation_result |
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if g_activation_result != 0: |
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gr.Warning("SDK Activation Failed!") |
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return ['', None] |
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image1, image2 = '', '' |
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if frame1 is not None and frame2 is not None: |
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image1, image2 = frame1, frame2 |
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elif frame1 is not None and frame2 is None: |
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image1 = frame1 |
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elif frame1 is None and frame2 is not None: |
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image1 = frame2 |
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elif frame1 is None and frame2 is None: |
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raise gr.Error("Please select images files!") |
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ocrResult = ocr_id_card(image1.encode('utf-8'), image2.encode('utf-8')) |
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ocrResDict = json.loads(ocrResult) |
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images = None |
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rawValues = {} |
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image_table_value = "" |
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result_table_dict = { |
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'portrait':'', |
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'documentName':'', |
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'score':'', |
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'countryName':'', |
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'name':'', |
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'sex':'', |
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'address':'', |
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'dateOfBirth':'', |
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'dateOfIssue':'', |
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'dateOfExpiry':'', |
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'documentNumber':'', |
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} |
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for key, value in ocrResDict.items(): |
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if key == 'image': |
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for image_key, image_value in value.items(): |
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row_value = ("<tr>" |
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"<td>{key}</td>" |
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"<td><img src=""data:image/png;base64,{base64_image} width = '200' height= '100' /></td>" |
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"</tr>".format(key=image_key, base64_image=image_value)) |
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image_table_value = image_table_value + row_value |
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images = ("<table>" |
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"<tr>" |
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"<th>Field</th>" |
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"<th>Image</th>" |
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"</tr>" |
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"{image_table_value}" |
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"</table>".format(image_table_value=image_table_value)) |
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value = ocrResDict.copy() |
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if 'image' in value: |
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del value['image'] |
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rawValues = value |
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else: |
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rawValues = value |
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for result_key in result_table_dict.keys(): |
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result_table_dict[result_key] = find_key_in_dict(ocrResDict, result_key) |
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result = json_to_html_table(result_table_dict, {'portrait'}) |
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json_result = json.dumps(rawValues, indent=6) |
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return [result, json_result, images] |
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def launch_demo(activate_result): |
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with gr.Blocks(css=css) as demo: |
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gr.Markdown( |
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f""" |
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<a href="https://recognito.vision" style="display: flex; align-items: center;"> |
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<img src="https://recognito.vision/wp-content/uploads/2024/03/Recognito-modified.png" style="width: 8%; margin-right: 15px;"/> |
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<div> |
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<p style="font-size: 32px; font-weight: bold; margin: 0;">Recognito</p> |
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<p style="font-size: 18px; margin: 0;">www.recognito.vision</p> |
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</div> |
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</a> |
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<p style="font-size: 20px; font-weight: bold;">π Product Documentation</p> |
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<div style="display: flex; align-items: center;"> |
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  <a href="https://docs.recognito.vision" style="display: flex; align-items: center;"><img src="https://recognito.vision/wp-content/uploads/2024/05/book.png" style="width: 48px; margin-right: 5px;"/></a> |
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</div> |
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<p style="font-size: 20px; font-weight: bold;">π Visit Recognito</p> |
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<div style="display: flex; align-items: center;"> |
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  <a href="https://recognito.vision" style="display: flex; align-items: center;"><img src="https://recognito.vision/wp-content/uploads/2024/03/recognito_64_cl.png" style="width: 32px; margin-right: 5px;"/></a> |
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<a href="https://www.linkedin.com/company/recognito-vision" style="display: flex; align-items: center;"><img src="https://recognito.vision/wp-content/uploads/2024/03/linkedin_64_cl.png" style="width: 32px; margin-right: 5px;"/></a> |
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<a href="https://huggingface.co/recognito" style="display: flex; align-items: center;"><img src="https://recognito.vision/wp-content/uploads/2024/03/hf_64_cl.png" style="width: 32px; margin-right: 5px;"/></a> |
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<a href="https://github.com/recognito-vision" style="display: flex; align-items: center;"><img src="https://recognito.vision/wp-content/uploads/2024/03/github_64_cl.png" style="width: 32px; margin-right: 5px;"/></a> |
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<a href="https://hub.docker.com/u/recognito" style="display: flex; align-items: center;"><img src="https://recognito.vision/wp-content/uploads/2024/03/docker_64_cl.png" style="width: 32px; margin-right: 5px;"/></a> |
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<a href="https://www.youtube.com/@recognito-vision" style="display: flex; align-items: center;"><img src="https://recognito.vision/wp-content/uploads/2024/04/youtube_64_cl.png" style="width: 32px; margin-right: 5px;"/></a> |
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</div> |
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<p style="font-size: 20px; font-weight: bold;">π€ Contact us for our on-premise Face Recognition, Liveness Detection SDKs deployment</p> |
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<div style="display: flex; align-items: center;"> |
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  <a target="_blank" href="mailto:[email protected]"><img src="https://img.shields.io/badge/[email protected]?logo=gmail " alt="www.recognito.vision"></a> |
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<a target="_blank" href="https://wa.me/+14158003112"><img src="https://img.shields.io/badge/whatsapp-+14158003112-blue.svg?logo=whatsapp " alt="www.recognito.vision"></a> |
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<a target="_blank" href="https://t.me/recognito_vision"><img src="https://img.shields.io/badge/telegram-@recognito__vision-blue.svg?logo=telegram " alt="www.recognito.vision"></a> |
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<a target="_blank" href="https://join.slack.com/t/recognito-workspace/shared_invite/zt-2d4kscqgn-"><img src="https://img.shields.io/badge/slack-recognito__workspace-blue.svg?logo=slack " alt="www.recognito.vision"></a> |
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</div> |
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<br/> |
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""" |
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) |
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with gr.Row(): |
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with gr.Column(scale=6): |
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with gr.Row(): |
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with gr.Column(scale=3): |
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id_image_input1 = gr.Image(type='filepath', label='Front', elem_classes="example-image") |
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with gr.Column(scale=3): |
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id_image_input2 = gr.Image(type='filepath', label='Back', elem_classes="example-image") |
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with gr.Row(): |
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id_examples = gr.Examples( |
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examples=[[os.path.join(root_path,'examples/1_f.png'), os.path.join(root_path, 'examples/1_b.png')], |
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[os.path.join(root_path,'examples/2_f.png'), os.path.join(root_path, 'examples/2_b.png')], |
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[os.path.join(root_path,'examples/3_f.png'), os.path.join(root_path, 'examples/3_b.png')], |
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[os.path.join(root_path,'examples/4.png'), None]], |
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inputs=[id_image_input1, id_image_input2], |
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outputs=None, |
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fn=idcard_recognition |
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) |
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with gr.Blocks(): |
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with gr.Column(scale=4, min_width=400, elem_classes="block-background"): |
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id_recognition_button = gr.Button("ID Card Recognition", variant="primary", size="lg") |
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with gr.Tab("Key Fields"): |
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id_result_output = gr.HTML() |
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with gr.Tab("Raw JSON"): |
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json_result_output = gr.JSON() |
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with gr.Tab("Images"): |
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image_result_output = gr.HTML() |
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id_recognition_button.click(idcard_recognition, inputs=[id_image_input1, id_image_input2], outputs=[id_result_output, json_result_output, image_result_output]) |
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demo.launch(server_name="0.0.0.0", server_port=7860, show_api=False) |
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if __name__ == '__main__': |
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g_activation_result = activate_sdk() |
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launch_demo(g_activation_result) |