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Model
3 class object detection network to detect people in an image.
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22 Versions
pruned_quantized_decrypted_v2.3.4Signed
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09/20/2024 7:36 AM UTC8.4 MB
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09/20/2024 7:35 AM UTC84.83 MB
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04/11/2024 10:30 PM UTC84.83 MBAccuracy: 86120 EpochsBatch Size: 1GPU: V100
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08/18/2023 6:41 PM UTC8.4 MBCopied!
08/18/2023 6:41 PM UTC8.4 MB
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1. MODEL OVERVIEW
| Key | Value |
|---|---|
| 2. Model Architecture | DetectNet_v2 |
| 7. RUNTIME(S) | Deepstream |
| 8. Supported OS | LINUX, LINUX4TEGRA |
| 6. Trainable | False |
| 5. Output | TYPE: LABEL, BOUNDING BOX; LABEL CLASSES: PERSON, BAG, FACE; DIMENSION: 2D; RESOLUTION: LABELS-1X3, BBOX-1X4 |
| 3. Model Architecture | ResNet-34 |
| 1. Description | Detects people in 2D RGB image. Can detect bags and faces too. |
| 4. Input | TYPE: RGB IMAGE; DIMENSION: 2D; RESOLUTION: 1920X1080 RESIZED TO 960X544X3 |
| 9. Supported Hardware | All NVIDIA GPUS INCLUDING JETSON DEVICES |
08/14/2023 5:40 PM UTC85.29 MB
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12/09/2022 8:08 PM UTC8.54 MBAccuracy: 86120 EpochsBatch Size: 1GPU: V100
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deployable_quantized_v2.6.1Selected
12/09/2022 8:08 PM UTC85.03 MBAccuracy: 86120 EpochsBatch Size: 1GPU: V100
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12/09/2022 8:08 PM UTC85.03 MBAccuracy: 86120 EpochsBatch Size: 1GPU: V100
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05/25/2022 9:52 PM UTC85.03 MBAccuracy: 86120 EpochsBatch Size: 1GPU: V100Copied!
05/25/2022 9:52 PM UTC85.03 MBAccuracy: 86120 EpochsBatch Size: 1GPU: V100
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1. MODEL OVERVIEW
| Key | Value |
|---|---|
| 2. Model Architecture | DetectNet_v2 |
| 6. RUNTIME(S) | Deepstream |
| 8. Supported Hardware | All NVIDIA GPUS INCLUDING JETSON DEVICES |
| 5. Output | TYPE: LABEL, BOUNDING BOX; LABEL CLASSES: PERSON, BAG, FACE; DIMENSION: 2D; RESOLUTION: LABELS-1X3, BBOX-1X4 |
| 3. Model Architecture | ResNet-34 |
| 7. Supported OS | LINUX, LINUX4TEGRA |
| 1. Description | Detects people in 2D RGB image. Can detect bags and faces too. |
| 4. Input | TYPE: RGB IMAGE; DIMENSION: 2D; RESOLUTION: 1920X1080 RESIZED TO 960X544X3 |
05/25/2022 9:52 PM UTC85.51 MBAccuracy: 86120 EpochsBatch Size: 1GPU: V100Copied!
05/25/2022 9:52 PM UTC85.51 MBAccuracy: 86120 EpochsBatch Size: 1GPU: V100
Copied!
1. MODEL OVERVIEW
| Key | Value |
|---|---|
| 2. Model Architecture | DetectNet_v2 |
| 6. RUNTIME(S) | Deepstream |
| 8. Supported Hardware | All NVIDIA GPUS INCLUDING JETSON DEVICES |
| 5. Output | TYPE: LABEL, BOUNDING BOX; LABEL CLASSES: PERSON, BAG, FACE; DIMENSION: 2D; RESOLUTION: LABELS-1X3, BBOX-1X4 |
| 3. Model Architecture | ResNet-34 |
| 7. Supported OS | LINUX, LINUX4TEGRA |
| 1. Description | Detects people in 2D RGB image. Can detect bags and faces too. |
| 4. Input | TYPE: RGB IMAGE; DIMENSION: 2D; RESOLUTION: 1920X1080 RESIZED TO 960X544X3 |