This folder contains sub-projects implementing OTE SDK Task interfaces for different algorithms.
Every sub-project is fully indepedent from each other, and each of them has its own dependencies and init_venv.sh script to initialize virtual environment.
ID
Name
Complexity (GFlops)
Model size (MB)
Path
ote_anomaly_classification_padim
PADIM
3.9
168.4
anomaly/configs/classification/padim/template.yaml
ote_anomaly_classification_stfpm
STFPM
5.6
21.1
anomaly/configs/classification/stfpm/template.yaml
ID
Name
Complexity (GFlops)
Model size (MB)
Path
ote_anomaly_detection_padim
PADIM
3.9
168.4
anomaly/configs/detection/padim/template.yaml
ote_anomaly_detection_stfpm
STFPM
5.6
21.1
anomaly/configs/detection/stfpm/template.yaml
ID
Name
Complexity (GFlops)
Model size (MB)
Path
ote_anomaly_segmentation_padim
PADIM
3.9
168.4
anomaly/configs/segmentation/padim/template.yaml
ote_anomaly_segmentation_stfpm
STFPM
5.6
21.1
anomaly/configs/segmentation/stfpm/template.yaml
ID
Name
Complexity (GFlops)
Model size (MB)
Path
Custom_Image_Classification_MobileNet-V3-large-1x
MobileNet-V3-large-1x
0.44
4.29
model-preparation-algorithm/configs/classification/mobilenet_v3_large_1_cls_incr/template.yaml
Custom_Image_Classification_EfficinetNet-B0
EfficientNet-B0
0.81
4.09
model-preparation-algorithm/configs/classification/efficientnet_b0_cls_incr/template.yaml
Custom_Image_Classification_EfficientNet-V2-S
EfficientNet-V2-S
5.76
20.23
model-preparation-algorithm/configs/classification/efficientnet_v2_s_cls_incr/template.yaml
ID
Name
Complexity (GFlops)
Model size (MB)
Path
Custom_Object_Detection_YOLOX
YOLOX
6.5
20.4
model-preparation-algorithm/configs/detection/cspdarknet_yolox_cls_incr/template.yaml
Custom_Object_Detection_Gen3_SSD
SSD
9.4
7.6
model-preparation-algorithm/configs/detection/mobilenetv2_ssd_cls_incr/template.yaml
Custom_Object_Detection_Gen3_ATSS
ATSS
20.6
9.1
model-preparation-algorithm/configs/detection/mobilenetv2_atss_cls_incr/template.yaml
Instance Segmentation (Object Counting)
ID
Name
Complexity (GFlops)
Model size (MB)
Path
Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B
MaskRCNN-EfficientNetB2B
68.48
13.27
model-preparation-algorithm/configs/instance-segmentation/efficientnetb2b_maskrcnn/template.yaml
Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50
MaskRCNN-ResNet50
533.8
177.9
model-preparation-algorithm/configs/instance-segmentation/resnet50_maskrcnn/template.yaml
ID
Name
Complexity (GFlops)
Model size (MB)
Path
Custom_Rotated_Detection_via_Instance_Segmentation_MaskRCNN_EfficientNetB2B
MaskRCNN-EfficientNetB2B
68.48
13.27
model-preparation-algorithm/configs/rotated-detection/efficientnetb2b_maskrcnn/template.yaml
Custom_Rotated_Detection_via_Instance_Segmentation_MaskRCNN_ResNet50
MaskRCNN-ResNet50
533.8
177.9
model-preparation-algorithm/configs/rotated-detection/resnet50_maskrcnn/template.yaml
ID
Name
Complexity (GFlops)
Model size (MB)
Path
Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR
Lite-HRNet-s-mod2
1.82
3.5
model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-s-mod2/template.yaml
Custom_Semantic_Segmentation_Lite-HRNet-18_OCR
Lite-HRNet-18
3.45
4.5
model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-18/template.yaml
Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR
Lite-HRNet-18-mod2
3.63
4.8
model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-18-mod2/template.yaml
Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR
Lite-HRNet-x-mod3
13.97
6.4
model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-x-mod3/template.yaml