PP-OCRv6 medium text detection MLX
This is an MLX-format conversion of PaddlePaddle/PP-OCRv6_medium_det_safetensors for use with mlx-vlm.
import mlx.core as mx
from PIL import Image
from mlx_vlm import load
model, processor = load("mikoy92/PP-OCRv6-medium-det-mlx")
image = Image.open("document.png")
inputs = processor(image)
outputs = model(**inputs)
mx.eval(outputs.logits)
result = processor.post_process_object_detection(
outputs,
target_sizes=inputs["target_sizes"],
)[0]
print(result["boxes"])
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Model size
22M params
Tensor type
F32
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Base model
PaddlePaddle/PP-OCRv6_medium_det_safetensors
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import TextDetection model = TextDetection(model_name="PP-OCRv6-medium-det-mlx") output = model.predict(input="path/to/image.png", batch_size=1) for res in output: res.print() res.save_to_img(save_path="./output/") res.save_to_json(save_path="./output/res.json")