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Model
Semantic segmentation of persons in an image.
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15 Versions
deployable_shuffleseg_unet_onnx_v1.0.1Signed
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09/20/2024 7:58 AM UTC3.73 MB
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09/20/2024 7:57 AM UTC118.68 MB
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09/20/2024 7:56 AM UTC118.72 MB
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03/13/2024 10:48 PM UTC118.71 MBBatch Size: 1GPU: V100
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03/13/2024 10:48 PM UTC3.73 MBAccuracy: 80120 EpochsBatch Size: 1GPU: V100
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03/13/2024 10:47 PM UTC118.71 MBAccuracy: 80120 EpochsBatch Size: 1GPU: V100
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08/22/2022 6:55 PM UTC118.71 MBAccuracy: 80120 EpochsBatch Size: 1GPU: V100Copied!
08/22/2022 6:55 PM UTC118.71 MBAccuracy: 80120 EpochsBatch Size: 1GPU: V100
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1. MODEL OVERVIEW
| Key | Value |
|---|---|
| 2. Model Architecture | UNet |
| 7. RUNTIME(S) | Deepstream |
| 8. Supported OS | LINUX, LINUX4TEGRA |
| 6. Trainable | False |
| 5. Output | Category label (person or background) for every pixel in the input image |
| 1. Description | Semantic segmentation of persons in an image. |
| 3. Backbone | Vanilla UNet Dynamic |
| 4. Input | TYPE: RGB IMAGE; DIMENSION: 2D; RESOLUTION: 1920X1080 RESIZED TO 960X544X3 |
| 9. Supported Hardware | All NVIDIA GPUS INCLUDING JETSON DEVICES |
08/22/2022 6:54 PM UTC118.71 MBAccuracy: 80120 EpochsBatch Size: 1GPU: V100Copied!
08/22/2022 6:54 PM UTC118.71 MBAccuracy: 80120 EpochsBatch Size: 1GPU: V100
Copied!
1. MODEL OVERVIEW
| Key | Value |
|---|---|
| 2. Model Architecture | UNet |
| 7. RUNTIME(S) | Deepstream |
| 8. Supported OS | LINUX, LINUX4TEGRA |
| 6. Trainable | False |
| 5. Output | Category label (person or background) for every pixel in the input image |
| 1. Description | Semantic segmentation of persons in an image. |
| 3. Backbone | Vanilla UNet Dynamic |
| 4. Input | TYPE: RGB IMAGE; DIMENSION: 2D; RESOLUTION: 1920X1080 RESIZED TO 960X544X3 |
| 9. Supported Hardware | All NVIDIA GPUS INCLUDING JETSON DEVICES |
deployable_vanilla_unet_v2.0Selected05/25/2022 3:47 PM UTC118.71 MBAccuracy: 80120 EpochsBatch Size: 1GPU: V100Copied!
deployable_vanilla_unet_v2.0Selected
05/25/2022 3:47 PM UTC118.71 MBAccuracy: 80120 EpochsBatch Size: 1GPU: V100
Copied!
1. MODEL OVERVIEW
| Key | Value |
|---|---|
| 2. Model Architecture | UNet |
| 6. RUNTIME(S) | Deepstream |
| 8. Supported Hardware | All NVIDIA GPUS INCLUDING JETSON DEVICES |
| 5. Output | Category label (person or background) for every pixel in the input image |
| 7. Supported OS | LINUX, LINUX4TEGRA |
| 1. Description | Semantic segmentation of persons in an image. |
| 3. Backbone | Vanilla UNet Dynamic |
| 4. Input | TYPE: RGB IMAGE; DIMENSION: 2D; RESOLUTION: 1920X1080 RESIZED TO 960X544X3 |
05/25/2022 3:44 PM UTC1.77 GBAccuracy: 80120 EpochsBatch Size: 1GPU: V100Copied!
05/25/2022 3:44 PM UTC1.77 GBAccuracy: 80120 EpochsBatch Size: 1GPU: V100
Copied!
1. MODEL OVERVIEW
| Key | Value |
|---|---|
| 2. Model Architecture | UNet |
| 6. RUNTIME(S) | Deepstream |
| 8. Supported Hardware | All NVIDIA GPUS INCLUDING JETSON DEVICES |
| 5. Output | Category label (person or background) for every pixel in the input image |
| 7. Supported OS | LINUX, LINUX4TEGRA |
| 1. Description | Semantic segmentation of persons in an image. |
| 3. Backbone | Vanilla UNet Dynamic |
| 4. Input | TYPE: RGB IMAGE; DIMENSION: 2D; RESOLUTION: 1920X1080 RESIZED TO 960X544X3 |