[Model] Add FSANet model (#448)

* add yolov5cls * fixed bugs * fixed bugs * fixed preprocess bug * add yolov5cls readme * deal with comments * Add YOLOv5Cls Note * add yolov5cls test * add rvm support * support rvm model * add rvm demo * fixed bugs * add rvm readme * add TRT support * add trt support * add rvm test * add EXPORT.md * rename export.md * rm poros doxyen * deal with comments * deal with comments * add rvm video_mode note * add fsanet * fixed bug * update readme * fixed for ci * deal with comments * deal with comments * deal with comments Co-authored-by: Jason <jiangjiajun@baidu.com> Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2025-10-05 16:48:03 +08:00 · 2022-11-04 11:00:35 +08:00
parent ce828ecb38
commit 7150e6405c
31 changed files with 922 additions and 22 deletions
--- a/examples/vision/headpose/fsanet/python/infer.py
+++ b/examples/vision/headpose/fsanet/python/infer.py
@@ -0,0 +1,88 @@
+import fastdeploy as fd
+import cv2
+import os
+
+
+def parse_arguments():
+    import argparse
+    import ast
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--model", required=True, help="Path of FSANet model.")
+    parser.add_argument("--image", type=str, help="Path of test image file.")
+    parser.add_argument(
+        "--device",
+        type=str,
+        default='cpu',
+        help="Type of inference device, support 'cpu' or 'gpu'.")
+    parser.add_argument(
+        "--backend",
+        type=str,
+        default="default",
+        help="inference backend, default, ort, ov, trt, paddle, paddle_trt.")
+    parser.add_argument(
+        "--enable_trt_fp16",
+        type=ast.literal_eval,
+        default=False,
+        help="whether enable fp16 in trt/paddle_trt backend")
+    return parser.parse_args()
+
+
+def build_option(args):
+    option = fd.RuntimeOption()
+    device = args.device
+    backend = args.backend
+    enable_trt_fp16 = args.enable_trt_fp16
+    if device == "gpu":
+        option.use_gpu()
+        if backend == "ort":
+            option.use_ort_backend()
+        elif backend == "paddle":
+            option.use_paddle_backend()
+        elif backend in ["trt", "paddle_trt"]:
+            option.use_trt_backend()
+            option.set_trt_input_shape("input", [1, 3, 64, 64])
+            if backend == "paddle_trt":
+                option.enable_paddle_to_trt()
+            if enable_trt_fp16:
+                option.enable_trt_fp16()
+        elif backend == "default":
+            return option
+        else:
+            raise Exception(
+                "While inference with GPU, only support default/ort/paddle/trt/paddle_trt now, {} is not supported.".
+                format(backend))
+    elif device == "cpu":
+        if backend == "ort":
+            option.use_ort_backend()
+        elif backend == "ov":
+            option.use_openvino_backend()
+        elif backend == "paddle":
+            option.use_paddle_backend()
+        elif backend == "default":
+            return option
+        else:
+            raise Exception(
+                "While inference with CPU, only support default/ort/ov/paddle now, {} is not supported.".
+                format(backend))
+    else:
+        raise Exception(
+            "Only support device CPU/GPU now, {} is not supported.".format(
+                device))
+
+    return option
+
+
+args = parse_arguments()
+
+# 配置runtime，加载模型
+runtime_option = build_option(args)
+model = fd.vision.headpose.FSANet(args.model, runtime_option=runtime_option)
+
+# for image
+im = cv2.imread(args.image)
+result = model.predict(im.copy())
+print(result)
+# 可视化结果
+vis_im = fd.vision.vis_headpose(im, result)
+cv2.imwrite("visualized_result.jpg", vis_im)
+print("Visualized result save in ./visualized_result.jpg")