Comments (2)
WZMIAOMIAO
commented on July 20, 2024
抱歉，我没有研究过视频行为检测相关内容哦，在不同的任务中计算mAP的方法应该也是不同的，比如在图像目标检测领域对于预测的proposal通常会先经过NMS处理，滤除小概率目标等，这样剩下的目标基本都只有几个或几十个这样的数量级。你说的场景我不了解哦。
from deep-learning-for-image-processing.
maodong2056
commented on July 20, 2024
这个也是经过了NMS的，只是剩的确实比较多，我也尝试每个视频生成50/100个proposal这样的，结果更低了，我再研究研究谢谢回复
from deep-learning-for-image-processing.
Related Issues (20)
- fasterRCNN代码运行报错RuntimeError: unexpected EOF, expected 2193276 more bytes. The file might be corrupted. HOT 1
- LeNet第一次训练 HOT 1
- Unet训练和测试代码为什么这么复杂？ HOT 1
- Resnet批处理没有结果
- unet HOT 1
- 你好 GitHub上HRNet篇的的person_keypoints.json这个文件要怎么修改 我想把原本的coco数据集修改为coco-wholebody 万分感谢
- pytorch_object_detection/yolov3_spp/build_utils/img_utils.py中letterbox()函数有错误❌ HOT 1
- mask rcnn lr_scheduler
- 我在使用vit模型的时候，加载vit_base_patch16_224_in21k()模型的预训练权重，显示和某些层和预训练权重不符合，怎么解决呢 HOT 1
- 为什么EfficientNetB7的depth_coefficient设置为3.1？
- KeyError: 'mask' --- gt_mask = instance['mask']
- 目录结构怎么变得呀大佬，pytorch_learning文件夹怎么没了啊 HOT 1
- 训练自己数据集检测时出现画图颜色的错误 HOT 1
- Vit的flops使用方法即将在未来的 PyTorch版本中删除 HOT 2
- 使用swin-transformer里的predict.py和官方swin_tiny_patch4_window7_224.pth模型预测没结果； HOT 2
- yolov3_spp运行报错，运行到datasets.py中line259报错：
- yolov3_spp运行报错，运行到datasets.py中line259报错： HOT 1
- PPT放一个地方不好吗？ 一个个分开，整理也够累的 HOT 2
- FileNotFoundError: Found no valid file for the classes roses, sunflowers, tulips. Supported extensions are: .jpg, .jpeg, .png, .ppm, .bmp, .pgm, .tif, .tiff, .webp
- 在torch >= 2.0中移除了名为“torch._six”的模块 coco_eval.py文件可能需要一些修改 HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from deep-learning-for-image-processing.