Start

app.py

@@ -0,0 +1,92 @@
+import os
+os.system('pip install paddlepaddle')
+os.system('pip install paddleocr')
+from paddleocr import PaddleOCR, draw_ocr
+from PIL import Image
+import gradio as gr
+import torch
+
+torch.hub.download_url_to_file('https://i.imgur.com/aqMBT0i.jpg', 'example.jpg')
+
+DISPLAY_WIDTH = 40
+CYCLES = [20, 60, 100, 140, 180, 220]
+PIXEL = '█' # Better than '#' for printing
+EMPTY = ' ' # Better than '.' for printing
+
+
+
+def solve(data, part_2 = False):
+    cycle = 0
+    sprite = 1 # middle position, we have pixels at 0 and 2
+    total = 0
+    X = 1
+    crt = []
+    for line in data.split("\n"):
+        if cycle in [sprite-1, sprite, sprite+1]:
+            crt.append(PIXEL)
+        else:
+            crt.append(EMPTY)
+        cycle += 1
+        if cycle in CYCLES:
+            total += X * cycle
+        if line.startswith("addx"):
+            if cycle in [sprite-1, sprite, sprite+1]:
+                crt.append(PIXEL)
+            else:
+                crt.append(EMPTY)
+            cycle += 1
+            if cycle in CYCLES:
+                total += X * cycle
+            X += int(line.split()[-1])
+            sprite = X
+        if part_2:
+            # Go back to first position after 40 pixels
+            cycle = cycle % DISPLAY_WIDTH
+
+    print("Solution to part 1: ", total)
+    res = "\n".join(["".join(crt[i:i+DISPLAY_WIDTH]) for i in range(0, len(crt), DISPLAY_WIDTH)])
+    print("Solution to part 2:")
+    print(res)
+
+
+    # Bonus: make an image and then use OCR
+    # to extract the text.
+    from PIL import Image
+    import numpy as np
+    import matplotlib.pylab as plt
+    img = np.array(crt)
+
+    plt.imshow(img, cmap="binary")
+    plt.axis('off')
+    plt.savefig("day_10.png")
+
+    print(ocr.ocr("day_10.png"))
+    img_path = "day_10.png"
+    ocr = PaddleOCR(use_angle_cls=True, use_gpu=False)
+    result = ocr.ocr(img_path, cls=True)[0]
+    image = Image.open(img_path).convert('RGB')
+    boxes = [line[0] for line in result]
+    txts = [line[1][0] for line in result]
+    scores = [line[1][1] for line in result]
+    im_show = draw_ocr(image, boxes, txts, scores,
+                       font_path='simfang.ttf')
+    im_show = Image.fromarray(im_show)
+    im_show.save('result.jpg')
+    return 'result.jpg' 
+
+title = 'PaddleOCR'
+description = 'Gradio demo for PaddleOCR. PaddleOCR demo supports Chinese, English, French, German, Korean and Japanese.To use it, simply upload your image and choose a language from the dropdown menu, or click one of the examples to load them. Read more at the links below.'
+article = "<p style='text-align: center'><a href='https://www.paddlepaddle.org.cn/hub/scene/ocr'>Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）</a> | <a href='https://github.com/PaddlePaddle/PaddleOCR'>Github Repo</a></p>"
+examples = [['example.jpg','en']]
+css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
+gr.Interface(
+    solve,
+    [gr.File(file_types='text', label='Input'),
+    gr.outputs.Image(type='file', label='Output')],
+    title=title,
+    description=description,
+    article=article,
+    examples=examples,
+    css=css,
+    enable_queue=True
+    ).launch(debug=True)