Comments (3)
Give me an example image. Not sure if this is the right framework for you.
from nanonets_object_tracking.
This is a sample image from the vineyard row I would like to track (so this is frame of a video never seen by my neural network)
and this is a sample crop from my training set.
So to be clear, the dataset which I use for training the network is a set of 200 images representing different vineyards all over the world. Therefore when I have trained my model I pass to it video frames and after the detection part I would like to apply tracking.
What I have done up to now is creating a dataset of 1800 crops that represent different grape bunches.
Instead in this framework, from what I understand, I should build another dataset where I have the same grape bunches seen by different views (in my case they could be different frames). Can i skip this part where I create a new dataset or what? Since it would require a lot amount of time
from nanonets_object_tracking.
@andreaceruti hi there,
I am working on a similar project ( greenhouse plant) and I would like to know if you have succeeded in training the model?
Do you think the images of the same object in different frames could be used to train the siamese network as you mentioned above?
Thanks!
from nanonets_object_tracking.
Related Issues (20)
- Why did you choose Sieamese network for appearance vectors HOT 1
- Interpolation in frames with no detection HOT 1
- How to implement lambda in equation 5? HOT 2
- Has anyone compared this with dlib correlation tracker?
- Is there permission to share NVIDIA AI city dataset HOT 1
- Training time HOT 3
- Video is no longer available HOT 3
- ValueError: operands could not be broadcast together with shapes (540,960,3) (1080,1920,3) HOT 1
- Testing on faster rcnn model HOT 1
- Test video not available HOT 1
- No detection bug HOT 1
- No module named 'siamese_net' HOT 1
- MOT results sucks using siamese network HOT 1
- Video file not available HOT 2
- how to pass ditections from an object detector to deep sort HOT 1
- how to train custom dataset using deep sortmodel? HOT 2
- has anyone tired this with custom dataset?
- version compatibility issue HOT 1
- How do you use Yolo v4-5-6-7 versions for detections?
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 nanonets_object_tracking.