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Update inspireface to 1.2.0

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Jingyu
2025-03-25 00:51:26 +08:00
parent 977ea6795b
commit ca64996b84
388 changed files with 28584 additions and 13036 deletions
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16
cpp-package/inspireface/python/sample_face_detection.py
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@@ -1,7 +1,6 @@
import os
import cv2
import inspireface as ifac
from inspireface.param import *
import inspireface as isf
import click
import numpy as np
@@ -11,20 +10,15 @@ age_bracket_tags = ["0-2 years old", "3-9 years old", "10-19 years old", "20-29
"40-49 years old", "50-59 years old", "60-69 years old", "more than 70 years old"]
@click.command()
@click.argument("resource_path")
@click.argument('image_path')
def case_face_detection_image(resource_path, image_path):
def case_face_detection_image(image_path):
"""
This is a sample application for face detection and tracking using an image.
It also includes pipeline extensions such as RGB liveness, mask detection, and face quality evaluation.
"""
# Step 1: Initialize the SDK and load the algorithm resource files.
ret = ifac.launch(resource_path)
assert ret, "Launch failure. Please ensure the resource path is correct."
# Optional features, loaded during session creation based on the modules specified.
opt = HF_ENABLE_FACE_RECOGNITION | HF_ENABLE_QUALITY | HF_ENABLE_MASK_DETECT | HF_ENABLE_LIVENESS | HF_ENABLE_INTERACTION | HF_ENABLE_FACE_ATTRIBUTE
session = ifac.InspireFaceSession(opt, HF_DETECT_MODE_ALWAYS_DETECT)
opt = isf.HF_ENABLE_FACE_RECOGNITION | isf.HF_ENABLE_QUALITY | isf.HF_ENABLE_MASK_DETECT | isf.HF_ENABLE_LIVENESS | isf.HF_ENABLE_INTERACTION | isf.HF_ENABLE_FACE_ATTRIBUTE
session = isf.InspireFaceSession(opt, isf.HF_DETECT_MODE_ALWAYS_DETECT)
# Set detection confidence threshold
session.set_detection_confidence_threshold(0.5)
@@ -68,7 +62,7 @@ def case_face_detection_image(resource_path, image_path):
cv2.circle(draw, (x, y), 0, (220, 100, 0), 2)
# Features must be enabled during session creation to use them here.
select_exec_func = HF_ENABLE_QUALITY | HF_ENABLE_MASK_DETECT | HF_ENABLE_LIVENESS | HF_ENABLE_INTERACTION | HF_ENABLE_FACE_ATTRIBUTE
select_exec_func = isf.HF_ENABLE_QUALITY | isf.HF_ENABLE_MASK_DETECT | isf.HF_ENABLE_LIVENESS | isf.HF_ENABLE_INTERACTION | isf.HF_ENABLE_FACE_ATTRIBUTE
# Execute the pipeline to obtain richer face information.
extends = session.face_pipeline(image, faces, select_exec_func)
for idx, ext in enumerate(extends):