Segment-Anything-2.1-RKNN2
4
license:agpl-3.0
by
happyme531
Other
OTHER
New
0 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Code Examples
使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bashonnx
pip install numpy<2 pillow matplotlib opencv-python onnxruntime rknn-toolkit-lite2使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.py使用方法bash
python test_rknn.pypythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. 加载原始图片
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2模型转换bashonnx
pip install numpy<2 onnxslim onnxruntime rknn-toolkit2 sam2pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...pythononnx
def main():
# 1. Load original image
path = "dog.jpg"
orig_image, input_image, (scale, offset_x, offset_y) = load_image(path)
decoder_path = "sam2.1_hiera_small_decoder.onnx"
encoder_path = "sam2.1_hiera_small_encoder.rknn"
...Deploy This Model
Production-ready deployment in minutes
Together.ai
Instant API access to this model
Production-ready inference API. Start free, scale to millions.
Try Free APIReplicate
One-click model deployment
Run models in the cloud with simple API. No DevOps required.
Deploy NowDisclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.