| import gradio as gr | |
| import requests | |
| import json | |
| from PIL import Image | |
| def idcard_recognition(frame1, frame2): | |
| url = "http://127.0.0.1:8000/ocr/idcard" | |
| files = None | |
| if frame1 is not None and frame2 is not None: | |
| files = {'image1': open(frame1, 'rb'), 'image2': open(frame2, 'rb')} | |
| elif frame1 is not None and frame2 is None: | |
| files = {'image1': open(frame1, 'rb')} | |
| elif frame1 is None and frame2 is not None: | |
| files = {'image1': open(frame2, 'rb')} | |
| else: | |
| return ['', None] | |
| print(frame1, files) | |
| r = requests.post(url=url, files=files) | |
| images = None | |
| resultValues = {} | |
| table_value = "" | |
| for key, value in r.json().items(): | |
| if key == 'data': | |
| if 'image' in value: | |
| del value['image'] | |
| resultValues[key] = value | |
| else: | |
| resultValues[key] = value | |
| if 'data' in r.json(): | |
| for key, value in r.json()['data'].items(): | |
| if key == 'image': | |
| for image_key, image_value in value.items(): | |
| row_value = ("<tr>" | |
| "<td>{key}</td>" | |
| "<td><img src=""data:image/png;base64,{base64_image} width = '200' height= '100' /></td>" | |
| "</tr>".format(key=image_key, base64_image=image_value)) | |
| table_value = table_value + row_value | |
| images = ("<table>" | |
| "<tr>" | |
| "<th>Field</th>" | |
| "<th>Image</th>" | |
| "</tr>" | |
| "{table_value}" | |
| "</table>".format(table_value=table_value)) | |
| json_result = json.dumps(resultValues, indent=4) | |
| return [json_result, images] | |
| def barcode_recognition(frame): | |
| url = "http://127.0.0.1:8000/ocr/barcode" | |
| files = None | |
| if frame is None: | |
| return ['', None] | |
| files = {'image': open(frame, 'rb')} | |
| r = requests.post(url=url, files=files) | |
| images = None | |
| resultValues = {} | |
| table_value = "" | |
| for key, value in r.json().items(): | |
| if key == 'data': | |
| if 'image' in value: | |
| del value['image'] | |
| resultValues[key] = value | |
| else: | |
| resultValues[key] = value | |
| if 'data' in r.json(): | |
| for key, value in r.json()['data'].items(): | |
| if key == 'image': | |
| for image_key, image_value in value.items(): | |
| row_value = ("<tr>" | |
| "<td>{key}</td>" | |
| "<td><img src=""data:image/png;base64,{base64_image} width = '200' height= '100' /></td>" | |
| "</tr>".format(key=image_key, base64_image=image_value)) | |
| table_value = table_value + row_value | |
| images = ("<table>" | |
| "<tr>" | |
| "<th>Field</th>" | |
| "<th>Image</th>" | |
| "</tr>" | |
| "{table_value}" | |
| "</table>".format(table_value=table_value)) | |
| json_result = json.dumps(resultValues, indent=4) | |
| return [json_result, images] | |
| def credit_recognition(frame): | |
| url = "http://127.0.0.1:8000/ocr/credit" | |
| files = None | |
| if frame is None: | |
| return ['', None] | |
| files = {'image': open(frame, 'rb')} | |
| r = requests.post(url=url, files=files) | |
| images = None | |
| resultValues = {} | |
| table_value = "" | |
| for key, value in r.json().items(): | |
| if key == 'data': | |
| if 'image' in value: | |
| del value['image'] | |
| resultValues[key] = value | |
| else: | |
| resultValues[key] = value | |
| if 'data' in r.json(): | |
| for key, value in r.json()['data'].items(): | |
| if key == 'image': | |
| for image_key, image_value in value.items(): | |
| row_value = ("<tr>" | |
| "<td>{key}</td>" | |
| "<td><img src=""data:image/png;base64,{base64_image} width = '200' height= '100' /></td>" | |
| "</tr>".format(key=image_key, base64_image=image_value)) | |
| table_value = table_value + row_value | |
| images = ("<table>" | |
| "<tr>" | |
| "<th>Field</th>" | |
| "<th>Image</th>" | |
| "</tr>" | |
| "{table_value}" | |
| "</table>".format(table_value=table_value)) | |
| json_result = json.dumps(resultValues, indent=4) | |
| return [json_result, images] | |
| with gr.Blocks() as demo: | |
| gr.Markdown( | |
| """ | |
| # ID Document Recognition | |
| Get your own ID Document Recognition Server by duplicating this space.<br/> | |
| Or run on your own machine using docker.<br/> | |
| ```docker run -it -p 7860:7860 --platform=linux/amd64 \ | |
| -e LICENSE_KEY="YOUR_VALUE_HERE" \ | |
| registry.hf.space/faceonlive-id-document-recognition-sdk:latest```<br/><br/> | |
| Contact us at https://faceonlive.com for issues and support.<br/> | |
| """ | |
| ) | |
| with gr.TabItem("ID Card Recognition"): | |
| with gr.Row(): | |
| with gr.Column(scale=3): | |
| id_image_input1 = gr.Image(type='filepath', label='Front') | |
| id_image_input2 = gr.Image(type='filepath', label='Back') | |
| id_recognition_button = gr.Button("ID Card Recognition") | |
| with gr.Column(scale=5): | |
| id_result_output = gr.JSON() | |
| with gr.Column(scale=2): | |
| image_result_output = gr.HTML() | |
| id_recognition_button.click(idcard_recognition, inputs=[id_image_input1, id_image_input2], outputs=[id_result_output, image_result_output]) | |
| with gr.TabItem("Barcode Recognition"): | |
| with gr.Row(): | |
| with gr.Column(scale=3): | |
| barcode_image_input = gr.Image(type='filepath') | |
| barcode_recognition_button = gr.Button("Barcode Recognition") | |
| with gr.Column(scale=5): | |
| barcode_result_output = gr.JSON() | |
| with gr.Column(scale=2): | |
| image_result_output = gr.HTML() | |
| barcode_recognition_button.click(barcode_recognition, inputs=barcode_image_input, outputs=[barcode_result_output, image_result_output]) | |
| with gr.TabItem("Credit Card Recognition"): | |
| with gr.Row(): | |
| with gr.Column(scale=3): | |
| credit_image_input = gr.Image(type='filepath') | |
| credit_recognition_button = gr.Button("Credit Card Recognition") | |
| with gr.Column(scale=5): | |
| credit_result_output = gr.JSON() | |
| with gr.Column(scale=2): | |
| image_result_output = gr.HTML() | |
| credit_recognition_button.click(credit_recognition, inputs=credit_image_input, outputs=[credit_result_output, image_result_output]) | |
| demo.launch(server_name="0.0.0.0", server_port=7860) |