insightfaceWrapper

Wrapper for easier inference for insightface

Install

pip install -U insightfacewrapper

Models

• ms1mv3_arcface_r18
• ms1mv3_arcface_r34
• ms1mv3_arcface_r50
• ms1mv3_arcface_r100
• glint360k_cosface_r18
• glint360k_cosface_r34
• glint360k_cosface_r50
• glint360k_cosface_r100

from insightfacewrapper.get_model import get_model
model = get_model(<model_name>)
model.eval()

Inference

Based on the original inference script, image should be resized to (112, 112).

def normalize(image: np.ndarray) -> np.ndarray:
    image /= 255
    image -= 0.5
    image /= 0.5
    return image

def image2input(image: np.ndarray) -> np.ndarray:
    transposed = np.transpose(image, (2, 0, 1)).astype(np.float32)
    return normalize(np.expand_dims(np.ascontiguousarray(transposed), 0))

torch_input = image2input(image)

with torch.inference_engine():
    result = model(torch_input)[0].cpu().numpy()