[vision] Add AdaFace model support (#301)

* 新增adaface模型

* 新增adaface模型python代码

* 新增adaface模型example代码

* 删除无用的import

* update

* 修正faceid文档的错误

* 修正faceid文档的错误

* 删除无用文件

* 新增adaface模型paddleinference推理代码,模型文件先提交方便测试后期会删除

* 新增adaface模型paddleinference推理代码,模型文件先提交方便测试后期会删除

* 按照要求修改并跑通cpp example

* 测试python example

* python cpu测试通过,修改了文档

* 修正文档,替换了模型下载地址

* 修正文档

* 修正文档

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
This commit is contained in:
Zheng_Bicheng
2022-10-11 09:55:18 +08:00
committed by GitHub
parent a6847c5432
commit 9c3ac8f0da
18 changed files with 804 additions and 31 deletions

View File

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import fastdeploy as fd
import cv2
import numpy as np
# 余弦相似度
def cosine_similarity(a, b):
a = np.array(a)
b = np.array(b)
mul_a = np.linalg.norm(a, ord=2)
mul_b = np.linalg.norm(b, ord=2)
mul_ab = np.dot(a, b)
return mul_ab / (np.sqrt(mul_a) * np.sqrt(mul_b))
def parse_arguments():
import argparse
import ast
parser = argparse.ArgumentParser()
parser.add_argument(
"--model",
required=True,
help="Path of insgihtface paddle or onnx model.")
parser.add_argument(
"--params_file",
default=None,
help="Path of insgihtface paddle model's params_file.")
parser.add_argument(
"--face", required=True, help="Path of test face image file.")
parser.add_argument(
"--face_positive",
required=True,
help="Path of test face_positive image file.")
parser.add_argument(
"--face_negative",
required=True,
help="Path of test face_negative image file.")
parser.add_argument(
"--device",
type=str,
default='cpu',
help="Type of inference device, support 'cpu' or 'gpu'.")
parser.add_argument(
"--use_trt",
type=ast.literal_eval,
default=False,
help="Wether to use tensorrt.")
return parser.parse_args()
def build_option(args):
option = fd.RuntimeOption()
if args.device.lower() == "gpu":
option.use_gpu()
if args.use_trt:
option.use_trt_backend()
option.set_trt_input_shape("data", [1, 3, 112, 112])
return option
if __name__ == "__main__":
args = parse_arguments()
runtime_option = build_option(args)
model = fd.vision.faceid.AdaFace(
args.model, args.params_file, runtime_option=runtime_option)
face0 = cv2.imread(args.face)
face1 = cv2.imread(args.face_positive)
face2 = cv2.imread(args.face_negative)
model.l2_normalize = True
result0 = model.predict(face0)
result1 = model.predict(face1)
result2 = model.predict(face2)
embedding0 = result0.embedding
embedding1 = result1.embedding
embedding2 = result2.embedding
cosine01 = cosine_similarity(embedding0, embedding1)
cosine02 = cosine_similarity(embedding0, embedding2)
print(result0, end="")
print(result1, end="")
print(result2, end="")
print("Cosine 01: ", cosine01)
print("Cosine 02: ", cosine02)
print(model.runtime_option)