Comments (2)
To be honest I'm not really sure. That's really cool that the time profile is actually better with pytorch though, I did not realize that. It must have something to do with the way pytorch is designed under the hood with respect to gpu acceleration (I haven't been able to keep up with pytorch development as much recently :( ).
from ssd.pytorch.
@andyhahaha I'm curious, how do you get the 18ms? Is that on one specific image or the average over many images (VOC test set)?
I get on average over VOC test set only 70-80 ms per image (with a GTX 1080). Though the variance is very high, some images need only 20ms, others over 100ms. It also seems that the same images take always (approximately) the same time.
I'm also wondering how @amdegroot gets the 45 FPS, is that the average or for one test image? It seems I should get at least the same or faster with my GTX 1080. Could you maybe also share some numbers on training time? Mine is currently at +-130ms per iteration (again on Pascal VOC with the provided training code).
from ssd.pytorch.
Related Issues (20)
- what does target actually look like in criterion(out, target)? HOT 3
- Result produced too many boxes HOT 2
- About training only VOC2007 HOT 1
- eval my voc dataset ' __init__() missing 5 required positional arguments' HOT 4
- RuntimeError: Error(s) in loading state_dict for SSD:
- How can I get precision and recall in eval.py
- setting an array element with a sequence. HOT 3
- np.random.choice doesn't support tuple (or something like that) anymore
- the result in onnx model is all zero.
- ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (6,) + inhomogeneous part. HOT 4
- Do you calculate mAP in the right way ?
- ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (6,) + inhomogeneous part. HOT 5
- sh code error report
- Follow this to get this ancient code works HOT 1
- ValueError: operands could not be broadcast together with shapes HOT 1
- What environment is the best to run test.py?
- Packages versions
- RuntimeError: index 1 is out of bounds for dimension 1 with size 1
- TypeError: forward() missing 1 required positional argument: 'x' HOT 5
- Extract loss for each image in the batch
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 ssd.pytorch.