Generate Synthetic Korea License Plates.
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You can use this generator when there is insufficient data on the license plate.
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I recommend pre-training with synthetic images and fine-tune with real data.
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You can create synthetic license plate pictures by selecting the plate of the desired type.
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The name of the photo shows the letters and numbers on the license plate.
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Hangul in the plate was translated into English with the following rules.
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Region : 서울 -> A, 인천 -> B ...
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Hangul : 나 -> sk, 너 -> sj, 다 -> ek, 도 -> eh ...
Ex)
Type 1 : Z13wn0965
Type 2 : Z22aj0246
Type 3 : B16an7086
Type 4 : A48sk2287
Type 5 : Z19tn7921
Type 6 : 112ah0833
Type 7 : X50fk9747
| File | Description |
|---|---|
| generator_original.py | generate images without any image distortion/augmentation. |
| generator_augmentation.py | generate images with image augmentations such as random brightness. |
| generator_perspective.py | generate images with perspective transform. |
| generator_noise.py | generate images with noise such as rainfall, sunlight, shadows. |
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Use generated license plates to create new car images.
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You can use this generator when there is insufficient data.
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I recommend pre-training with synthetic images and fine-tune with real data.
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You need your own car images for this part.
| File | Description |
|---|---|
| buildcar_click_one.py | click on the 4 corners of the license plate location to generate cars with new license plates. |
| buildcar_click_multiple.py | same as above but for creating multiple images. |
| buildcar_nonclick.py | no need to click (need the location info beforehand). |
| File | Description |
|---|---|
| plate_detection.py | detect license plate and crop. |
- Align license plates using projective transform
| File | Description |
|---|---|
| projective_transform.py | align license plates (need to know the 4 corner coordinates). |
- Reference: https://github.com/JaidedAI/EasyOCR
| File | Description |
|---|---|
| recognize.py | use OCR to recognize Korean and numbers on license plates. |