fix torch cudnn config & update vot test result

Author: lizuoxin

docs/TUTORIALS/SOT_MODEL_ZOO.md

@@ -19,7 +19,7 @@ VOT test configuration directory: _experiments/siamfcpp/test/vot_
 | AlexNet | SiamFCppTracker | VOT2018 |0.576 | 0.183 | 0.393| ~200| ~185 | [siamfcpp_alexnet.yaml](../../experiments/siamfcpp/test/vot/siamfcpp_alexnet.yaml)
 | GoogLeNet | SiamFCppTracker | VOT2018 | 0.581 | 0.169 | 0.428 | ~80 | ~65 | [siamfcpp_googlenet.yaml](../../experiments/siamfcpp/test/vot/siamfcpp_googlenet.yaml) |
 | GoogLeNet* | SiamFCppTracker | VOT2018 | 0.584 | 0.178 | 0.425 | ~120 | / | [siamfcpp_googlenet.yaml](../../experiments/siamfcpp/test/vot/siamfcpp_googlenet.yaml) |
-| AlexNet | SiamFCppOnlineTracker | VOT2018 |0.569 | 0.145 | 0.414| ~100| / | [siamfcpp_alexnet_online.yaml](../../experiments/siamfcpp/test/vot/siamfcpp_alexnet_online.yaml)
+| AlexNet | SiamFCppOnlineTracker | VOT2018 |0.577 | 0.136 | 0.415| ~100| / | [siamfcpp_alexnet_online.yaml](../../experiments/siamfcpp/test/vot/siamfcpp_alexnet_online.yaml)
 
 \* means using TensorRT to accelerate the backbone feature extraction, and you can set **trt_mode** True in the config yaml to enable it.
 

experiments/siamfcpp/hpo/siamfcpp_SiamFCppOnlineTracker-hpo.yaml

@@ -0,0 +1,10 @@
+test:
+  track:
+    exp_name: &TEST_NAME "siamfcpp-hpo"
+    exp_save: &TEST_SAVE "logs/hpo"
+    pipeline:
+      SiamFCppOnlineTracker:
+        test_lr_hpo_range: [0.50, 0.58] # 0.52
+        window_influence_hpo_range: [0.20, 0.26] # 0.21
+        penalty_k_hpo_range: [0.04, 0.08] # 0.04
+        #online_score_weight_hpo_range: [0.4, 0.5, 0.6]

experiments/siamfcpp/test/vot/siamfcpp_alexnet_online.yaml

@@ -24,11 +24,12 @@ test:
     pipeline:
       name: "SiamFCppOnlineTracker"
       SiamFCppOnlineTracker:
-        test_lr: 0.58
-        window_influence: 0.21
-        penalty_k: 0.08
+        test_lr: 0.5074
+        window_influence: 0.237
+        penalty_k: 0.0588
         x_size: *X_SIZE_TEST
         num_conv3x3: *NUM_CONV3x3
+        online_score_weight: 0.6
     tester:
       names: ["VOTTester",]
       VOTTester:

videoanalyst/engine/tester/tester_base.py

@@ -94,6 +94,3 @@ def set_random_seed(self):
         os.environ['PYTHONHASHSEED'] = str(seed)
         np.random.seed(seed)
         torch.manual_seed(seed)
-        torch.cuda.manual_seed(seed)
-        torch.backends.cudnn.deterministic = True
-        torch.backends.cudnn.benchmark = True

videoanalyst/utils/hpo.py

@@ -91,7 +91,7 @@ def sample_and_update_single_hp(target_cfg: CfgNode, node_name_path: List[str],
         random_hpo_value = np.random.randint(hpo_lb, hpo_ub)
     else:
         hpo_lb, hpo_ub = float(hpo_range[0]), float(hpo_range[1])
-        random_hpo_value = np.random.uniform(hpo_lb, hpo_ub)
+        random_hpo_value = round(np.random.uniform(hpo_lb, hpo_ub), 4)
 
     set_cfg_value_wt_path(target_cfg, node_name_path, random_hpo_value)
     return random_hpo_value