Mask-RCNN-master.zip，Mask-RCNN安装文件

资源文件列表(大概)

文件名

大小

Mask_RCNN-master/

Mask_RCNN-master/.gitignore

569B

Mask_RCNN-master/LICENSE

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Mask_RCNN-master/MANIFEST.in

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Mask_RCNN-master/README.md

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Mask_RCNN-master/assets/

Mask_RCNN-master/assets/4k_video.gif

11.61MB

Mask_RCNN-master/assets/balloon_color_splash.gif

9.21MB

Mask_RCNN-master/assets/detection_activations.png

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Mask_RCNN-master/assets/detection_anchors.png

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Mask_RCNN-master/assets/detection_final.png

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Mask_RCNN-master/assets/detection_histograms.png

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Mask_RCNN-master/assets/detection_masks.png

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Mask_RCNN-master/assets/detection_refinement.png

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Mask_RCNN-master/assets/detection_tensorboard.png

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Mask_RCNN-master/assets/images_to_osm.png

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Mask_RCNN-master/assets/mapping_challenge.png

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Mask_RCNN-master/assets/nucleus_segmentation.png

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Mask_RCNN-master/assets/project_3dbuildings.png

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Mask_RCNN-master/assets/project_grass_gis.png

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Mask_RCNN-master/assets/project_ice_wedge_polygons.png

1MB

Mask_RCNN-master/assets/project_shiny1.jpg

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Mask_RCNN-master/assets/project_usiigaci1.gif

2.54MB

Mask_RCNN-master/assets/project_usiigaci2.gif

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Mask_RCNN-master/assets/street.png

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Mask_RCNN-master/images/

Mask_RCNN-master/images/1045023827_4ec3e8ba5c_z.jpg

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Mask_RCNN-master/images/12283150_12d37e6389_z.jpg

66.75KB

Mask_RCNN-master/images/2383514521_1fc8d7b0de_z.jpg

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Mask_RCNN-master/images/2502287818_41e4b0c4fb_z.jpg

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Mask_RCNN-master/images/2516944023_d00345997d_z.jpg

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Mask_RCNN-master/images/25691390_f9944f61b5_z.jpg

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Mask_RCNN-master/images/262985539_1709e54576_z.jpg

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Mask_RCNN-master/images/3132016470_c27baa00e8_z.jpg

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Mask_RCNN-master/images/3627527276_6fe8cd9bfe_z.jpg

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Mask_RCNN-master/images/3651581213_f81963d1dd_z.jpg

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Mask_RCNN-master/images/3800883468_12af3c0b50_z.jpg

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Mask_RCNN-master/images/3862500489_6fd195d183_z.jpg

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Mask_RCNN-master/images/3878153025_8fde829928_z.jpg

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Mask_RCNN-master/images/4410436637_7b0ca36ee7_z.jpg

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Mask_RCNN-master/images/4782628554_668bc31826_z.jpg

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Mask_RCNN-master/images/5951960966_d4e1cda5d0_z.jpg

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Mask_RCNN-master/images/6584515005_fce9cec486_z.jpg

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Mask_RCNN-master/images/6821351586_59aa0dc110_z.jpg

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Mask_RCNN-master/images/7581246086_cf7bbb7255_z.jpg

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Mask_RCNN-master/images/7933423348_c30bd9bd4e_z.jpg

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Mask_RCNN-master/images/8053677163_d4c8f416be_z.jpg

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Mask_RCNN-master/images/8239308689_efa6c11b08_z.jpg

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Mask_RCNN-master/images/8433365521_9252889f9a_z.jpg

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Mask_RCNN-master/images/8512296263_5fc5458e20_z.jpg

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Mask_RCNN-master/images/8699757338_c3941051b6_z.jpg

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Mask_RCNN-master/images/8734543718_37f6b8bd45_z.jpg

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Mask_RCNN-master/images/8829708882_48f263491e_z.jpg

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Mask_RCNN-master/images/9118579087_f9ffa19e63_z.jpg

300.74KB

Mask_RCNN-master/images/9247489789_132c0d534a_z.jpg

282.17KB

Mask_RCNN-master/mrcnn/

Mask_RCNN-master/mrcnn/__init__.py

Mask_RCNN-master/mrcnn/config.py

9.44KB

Mask_RCNN-master/mrcnn/model.py

123.84KB

Mask_RCNN-master/mrcnn/parallel_model.py

6.92KB

Mask_RCNN-master/mrcnn/utils.py

33.47KB

Mask_RCNN-master/mrcnn/visualize.py

18.51KB

Mask_RCNN-master/requirements.txt

106B

Mask_RCNN-master/samples/

Mask_RCNN-master/samples/balloon/

Mask_RCNN-master/samples/balloon/README.md

1.94KB

Mask_RCNN-master/samples/balloon/balloon.py

13.71KB

Mask_RCNN-master/samples/balloon/inspect_balloon_data.ipynb

7.8MB

Mask_RCNN-master/samples/balloon/inspect_balloon_model.ipynb

9.99MB

Mask_RCNN-master/samples/coco/

Mask_RCNN-master/samples/coco/coco.py

21.04KB

Mask_RCNN-master/samples/coco/inspect_data.ipynb

7.84MB

Mask_RCNN-master/samples/coco/inspect_model.ipynb

9.84MB

Mask_RCNN-master/samples/coco/inspect_weights.ipynb

1.21MB

Mask_RCNN-master/samples/demo.ipynb

1.48MB

Mask_RCNN-master/samples/nucleus/

Mask_RCNN-master/samples/nucleus/README.md

1.25KB

Mask_RCNN-master/samples/nucleus/inspect_nucleus_data.ipynb

4.21MB

Mask_RCNN-master/samples/nucleus/inspect_nucleus_model.ipynb

6.59MB

Mask_RCNN-master/samples/nucleus/nucleus.py

18.05KB

Mask_RCNN-master/samples/shapes/

Mask_RCNN-master/samples/shapes/shapes.py

7.41KB

Mask_RCNN-master/samples/shapes/train_shapes.ipynb

99.23KB

Mask_RCNN-master/setup.cfg

99B

Mask_RCNN-master/setup.py

2.46KB

资源内容介绍

安装可以查看，含一些报错解决方案，https://mp.csdn.net/mp_blog/creation/editor/140853795Mask R-CNN（Mask Region-Based Convolutional Neural Network）是一种用于实例分割（Instance Segmentation）的深度学习模型。它是在 Faster R-CNN 的基础上扩展而来，可以同时进行对象检测（Object Detection）、目标实例分割以及对象的语义分割。让我用更简单的术语解释一下 Mask R-CNN 的工作原理：1. **对象检测（Object Detection）**：Mask R-CNN 可以识别图像中的不同物体，并确定它们的位置。这类似于在图像中画边界框来标记物体的位置，即确定物体在图像中的位置和大小。2. **实例分割（Instance Segmentation）**：与对象检测不同，实例分割不仅可以检测物体的位置，还可以为每个检测到的物体生成一个像素级的掩模（mask），将其与图像中其他物体进行区分，从而精确地确定物体边界。3. *

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Mask-RCNN-master.zip，Mask-RCNN安装文件

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