Updated ADAS models (#37)

* update adas people * update adas people+vehicles
luxonis · Feb 27, 2024 · cf6f6ce · cf6f6ce
1 parent e7909ec
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Showing 4 changed files with 15 additions and 15 deletions.
diff --git a/models/yolov6n_thermal_people_256x192/model.yml b/models/yolov6n_thermal_people_256x192/model.yml
@@ -1,13 +1,13 @@
 description: Real-time Object detection with YoloV6n pre-trained on SCUT FIR Pedestrian Dataset
 files:
-- checksum: 43a54554b8f8f8beb9520dd1c2fa74137b83798d5ee6f2970f243ae596b678bf5c8af2238e30bfbf30c818d1773bb608
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   name: FP16/yolov6n_thermal_people_256x192.xml
-  sha256: 85654dc85d9b511d3dce768f4f9d1140f8b15d11bffe0d0d201fb2b96b3fa105
-  size: 289841
+  sha256: 3f04fd9914c1d7c6c1e0d18272c8c22eceed8278cde3c4e1eb3d56e9cd277ea5
+  size: 300296
   source: https://github.com/luxonis/depthai-model-zoo/raw/main/models/yolov6n_thermal_people_256x192/yolov6n_thermal_people_256x192.xml
-- checksum: 9228c79e7096c9cbf34756c64d75e8c066e7c959ee34e4825dbb9e4704cfeaeb7e8c9e29daefc9acd1a032569f184927
+- checksum: 589c88d37ba3ea81f14a87cf4d055023e86a50d6f6a4565bee096e35230725598d2ef0fcc7077cdca8870a8cf05c4d84
   name: FP16/yolov6n_thermal_people_256x192.bin
-  sha256: f0012af5a75e72f8591e2ff68f1636f6b98217e7fd7b31ac9ffc02d8450bbd36
+  sha256: ebfe5c49f27aa6d91dfb723c492473f0dcfc254011260bd55507abd11237c564
   size: 9257446
   source: https://robothub.fra1.cdn.digitaloceanspaces.com/models/yolov6n_thermal_people_256x192/yolov6n_thermal_people_256x192.bin
 framework: dldt
@@ -37,4 +37,4 @@ meta:
   thumbnail: null
   uses_depth: false
   verbose_name: YoloV6 Nano
-task_type: detection
+task_type: detection
diff --git a/models/yolov6n_thermal_people_256x192/yolov6n_thermal_people_256x192.xml b/models/yolov6n_thermal_people_256x192/yolov6n_thermal_people_256x192.xml
@@ -10449,7 +10449,7 @@
 			<is_python_api_used value="False" />
 			<model_name value="yolov6n_people" />
 			<output value="output1_yolov6r2,output2_yolov6r2,output3_yolov6r2" />
-			<scale value="255.0" />
+			<scale value="50.0" />
 		</conversion_parameters>
 		<legacy_frontend value="False" />
 	</rt_info>

diff --git a/models/yolov6n_thermal_people_vehicles_256x192/model.yml b/models/yolov6n_thermal_people_vehicles_256x192/model.yml
@@ -1,13 +1,13 @@
 description: Real-time Object detection with YoloV6n pre-trained on Teledyne FLIR Free ADAS Thermal Dataset v2
 files:
-- checksum: da0d8a45de87502acbc1a2e5273d098f1910660c86d8f5c77705eab405b69ad42bb376b95d3179a6249283a532efa44e
+- checksum: 4682cea6149e7f145ead47dec7ef672241ff9df1ad92244241773be5531556698c7761c4cd454fd3a69485848243bb79
   name: FP16/yolov6n_thermal_people_vehicles_256x192.xml
-  sha256: a8241bc5cb42c46fcbfc43326897d80edf806a6844197cdc82f1a961a8a4fe3d
-  size: 289844
+  sha256: 652e4e8b47e6731493c509a7d23693c756c39014d0b4cf97924f6a8d8d48547b
+  size: 300307
   source: https://github.com/luxonis/depthai-model-zoo/raw/main/models/yolov6n_thermal_people_vehicles_256x192/yolov6n_thermal_people_vehicles_256x192.xml
-- checksum: 4a827e1b07ec9c94ff28d77e3daa01836d4822d1fa390d223774d5c2f8f28da76d14f8a3b816bb193884d38ec3e67d68
+- checksum: 33d16e73f5bb12afbe3894dc5881c020f793465980a21e57c5390d549f48cc4b68707691bd530f97e759aea648537e25
   name: FP16/yolov6n_thermal_people_vehicles_256x192.bin
-  sha256: ec45b8c573011e52d6857925a0cd823767acb27bd1408abb42f3fdf98e855bed
+  sha256: 572eab705da182ed24689581c17ecb1dcca49307794a659de19ebda49645616c
   size: 9257900
   source: https://robothub.fra1.cdn.digitaloceanspaces.com/models/yolov6n_thermal_people_vehicles_256x192/yolov6n_thermal_people_vehicles_256x192.bin
 framework: dldt
@@ -37,4 +37,4 @@ meta:
   thumbnail: null
   uses_depth: false
   verbose_name: YoloV6 Nano
-task_type: detection
+task_type: detection
diff --git a/models/yolov6n_thermal_people_vehicles_256x192/yolov6n_thermal_people_vehicles_256x192.xml b/models/yolov6n_thermal_people_vehicles_256x192/yolov6n_thermal_people_vehicles_256x192.xml
@@ -10445,11 +10445,11 @@
 		<Runtime_version value="2023.0.1-11005-fa1c41994f3-releases/2023/0" />
 		<conversion_parameters>
 			<compress_to_fp16 value="True" />
-			<input_model value="DIR\yolov6n_sim.onnx" />
+			<input_model value="DIR\yolov6n_cars_people.onnx" />
 			<is_python_api_used value="False" />
 			<model_name value="yolov6n_cars_people" />
 			<output value="output1_yolov6r2,output2_yolov6r2,output3_yolov6r2" />
-			<scale value="255.0" />
+			<scale value="50.0" />
 		</conversion_parameters>
 		<legacy_frontend value="False" />
 	</rt_info>