Update model tests

2025-10-06 00:57:33 +08:00 · 2022-11-05 07:23:44 +00:00
parent 38a79ebfdc
commit f00212aa42
8 changed files with 502 additions and 0 deletions
--- a/tests/models/test_pptinypose.py
+++ b/tests/models/test_pptinypose.py
@@ -0,0 +1,100 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import fastdeploy as fd
+import cv2
+import os
+import numpy as np
+import runtime_config as rc
+
+def test_keypointdetection_pptinypose():
+    pp_tinypose_model_url = "https://bj.bcebos.com/fastdeploy/tests/PP_TinyPose_256x192_test.tgz"
+    fd.download_and_decompress(pp_tinypose_model_url, ".")
+    model_path = "./PP_TinyPose_256x192_test"
+    # 配置runtime，加载模型
+    runtime_option = fd.RuntimeOption()
+    model_file = os.path.join(model_path, "model.pdmodel")
+    params_file = os.path.join(model_path, "model.pdiparams")
+    config_file = os.path.join(model_path, "infer_cfg.yml")
+    image_file = os.path.join(model_path, "hrnet_demo.jpg")
+    baseline_file = os.path.join(model_path, "baseline.npy")
+    model = fd.vision.keypointdetection.PPTinyPose(
+        model_file, params_file, config_file, runtime_option=rc.test_option)
+
+    # 预测图片关键点
+    im = cv2.imread(image_file)
+    result = model.predict(im)
+    result = np.concatenate(
+        (np.array(result.keypoints), np.array(result.scores)[:, np.newaxis]),
+        axis=1)
+    baseline = np.load(baseline_file)
+    diff = np.fabs(result - np.array(baseline))
+    thres = 1e-05
+    assert diff.max() < thres, "The diff is %f, which is bigger than %f" % (
+        diff.max(), thres)
+    print("No diff")
+
+
+def test_keypointdetection_det_keypoint_unite():
+    det_keypoint_unite_model_url = "https://bj.bcebos.com/fastdeploy/tests/PicoDet_320x320_TinyPose_256x192_test.tgz"
+    fd.download_and_decompress(det_keypoint_unite_model_url, ".")
+    model_path = "./PicoDet_320x320_TinyPose_256x192_test"
+    # 配置runtime，加载模型
+    runtime_option = fd.RuntimeOption()
+    tinypose_model_file = os.path.join(
+        model_path, "PP_TinyPose_256x192_infer/model.pdmodel")
+    tinypose_params_file = os.path.join(
+        model_path, "PP_TinyPose_256x192_infer/model.pdiparams")
+    tinypose_config_file = os.path.join(
+        model_path, "PP_TinyPose_256x192_infer/infer_cfg.yml")
+    picodet_model_file = os.path.join(
+        model_path, "PP_PicoDet_V2_S_Pedestrian_320x320_infer/model.pdmodel")
+    picodet_params_file = os.path.join(
+        model_path, "PP_PicoDet_V2_S_Pedestrian_320x320_infer/model.pdiparams")
+    picodet_config_file = os.path.join(
+        model_path, "PP_PicoDet_V2_S_Pedestrian_320x320_infer/infer_cfg.yml")
+    image_file = os.path.join(model_path, "000000018491.jpg")
+    # image_file = os.path.join(model_path, "hrnet_demo.jpg")
+
+    baseline_file = os.path.join(model_path, "baseline.npy")
+
+    tinypose_model = fd.vision.keypointdetection.PPTinyPose(
+        tinypose_model_file,
+        tinypose_params_file,
+        tinypose_config_file,
+        runtime_option=runtime_option)
+
+    det_model = fd.vision.detection.PicoDet(
+        picodet_model_file,
+        picodet_params_file,
+        picodet_config_file,
+        runtime_option=rc.test_option)
+
+    # 预测图片关键点
+    im = cv2.imread(image_file)
+    pipeline = fd.pipeline.PPTinyPose(det_model, tinypose_model)
+    pipeline.detection_model_score_threshold = 0.5
+    result = pipeline.predict(im)
+    print(result)
+    result = np.concatenate(
+        (np.array(result.keypoints), np.array(result.scores)[:, np.newaxis]),
+        axis=1)
+    print(result)
+    np.save("baseline.npy", result)
+    baseline = np.load(baseline_file)
+    diff = np.fabs(result - np.array(baseline))
+    thres = 1e-05
+    assert diff.max() < thres, "The diff is %f, which is bigger than %f" % (
+        diff.max(), thres)
+    print("No diff")