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Add nanosam resnet18 image encoder (#30)
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tersekmatija authored Oct 6, 2023
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1 change: 1 addition & 0 deletions .gitignore
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**/*.bin
40 changes: 40 additions & 0 deletions models/nanosam_resnet18_image_encoder_1024x1024/model.yml
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description: ResNet18 image encoder for NanoSAM
documentation: https://github.com/luxonis/depthai-model-zoo/tree/main/models/nanosam_resnet18_image_encoder_1024x1024
files:
- checksum: b752ae5aea32961a95957750c74c1c076953d3c392427303e2b60040a891b1f4c1d58f6deb8d7eee1c2d0246a323fc3a
name: FP16/nanosam_resnet18_image_encoder_1024x1024.xml
sha256: b9acf6c0314a48a52b2ca92b09b03f3159015ad0080f946e5f88da3d415953d0
size: 120264
source: https://github.com/luxonis/depthai-model-zoo/raw/main/models/nanosam_resnet18_image_encoder_1024x1024/nanosam_resnet18_image_encoder_1024x1024.xml
- checksum: a8b93b905982c62043c3fff927a51094d3807ec4417f1326d9e9b73b3e384ed428c517f97881c4bcf77331629f8cecec
name: FP16/nanosam_resnet18_image_encoder_1024x1024.bin
sha256: 037a83d8b8666f6157d08e06417a0795a4f4a8c666b1b4c679321d2fcb6f323a
size: 31652102
source: https://robothub.fra1.cdn.digitaloceanspaces.com/models/nanosam_resnet18_image_encoder_1024x1024/nanosam_resnet18_image_encoder_1024x1024.bin
framework: dldt
license: https://github.com/NVIDIA-AI-IOT/nanosam/tree/main
meta:
FPS:
mean: 2.0
std: 0.1
backbone: ResNet18
downloads:
- name: nanosam_resnet18_image_encoder_1024x1024.xml
url: https://github.com/luxonis/depthai-model-zoo/raw/main/models/nanosam_resnet18_image_encoder_1024x1024/nanosam_resnet18_image_encoder_1024x1024.xml
- name: nanosam_resnet18_image_encoder_1024x1024.bin
url: https://robothub.fra1.cdn.digitaloceanspaces.com/models/nanosam_resnet18_image_encoder_1024x1024/nanosam_resnet18_image_encoder_1024x1024.bin
experiment: https://github.com/luxonis/depthai-experiments/tree/master/gen2-nanosam
featured: false
inputs:
- name: images
shape: 3, 1024, 1024
type: image
license:
name: Apache-2.0
url: https://opensource.org/licenses/Apache-2.0
source:
- name: NanoSAM
url: https://github.com/NVIDIA-AI-IOT/nanosam
uses_depth: false
verbose_name: NanoSAM embedder
task_type: classification
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