Update InspireFace to 1.1.4

cpp-package/inspireface/python/test/test_settings.py

@@ -8,14 +8,14 @@ import inspireface as ifac
 ENABLE_BENCHMARK_TEST = True
 
 # Enabling will run all the CRUD tests, which will take time
-ENABLE_CRUD_TEST = True
+ENABLE_CRUD_TEST = False
 
 # Enabling will run the face search benchmark, which takes time and must be configured with the correct
 # 'LFW_FUNNELED_DIR_PATH' parameter
 ENABLE_SEARCH_BENCHMARK_TEST = True
 
 # Enabling will run the LFW dataset precision test, which will take time
-ENABLE_LFW_PRECISION_TEST = True
+ENABLE_LFW_PRECISION_TEST = False
 
 # Testing model name
 TEST_MODEL_NAME = "Pikachu"

cpp-package/inspireface/python/test/unit/test_tracker_module.py

@@ -84,24 +84,6 @@ class FaceTrackerCase(unittest.TestCase):
         right_face_roll = faces[0].roll
         self.assertEqual(True, right_face_roll > 30)
 
-    def test_face_track_from_video(self):
-        # Read a video file
-        video_gen = read_video_generator(get_test_data("video/810_1684206192.mp4"))
-        results = [self.engine_tk.face_detection(frame) for frame in video_gen]
-        num_of_frame = len(results)
-        num_of_track_loss = len([faces for faces in results if not faces])
-        total_track_ids = [faces[0].track_id for faces in results if faces]
-        num_of_id_switch = len([id_ for id_ in total_track_ids if id_ != 1])
-
-        # Calculate the loss rate of trace loss and switching id
-        track_loss = num_of_track_loss / num_of_frame
-        id_switch_loss = num_of_id_switch / len(total_track_ids)
-
-        # Not rigorous, only for the current test of this video file
-        self.assertEqual(True, track_loss < 0.05)
-        self.assertEqual(True, id_switch_loss < 0.1)
-
-
 @optional(ENABLE_BENCHMARK_TEST, "All benchmark related tests have been closed.")
 class FaceTrackerBenchmarkCase(unittest.TestCase):
     benchmark_results = list()