c100rczyk Team_project_PWR issues

c100rczyk / Team_project_PWR

This is team project implemented as part of the IT specialization in the field of Automation and Robotics, in cooperate with company. Main technologies are: Computer Vision. Language: Python.

MIT License

2 stars 0 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

Create Dataset

#41 c100rczyk opened 1 week ago
1
Capture images from camera 2D

#40 c100rczyk closed 3 weeks ago
0
Embeddings storage - saving and downloading

#39 c100rczyk opened 1 month ago
0
Create application for visualization and interaction with implemented program

#38 c100rczyk opened 1 month ago
0
Arranging code adding methods

#37 c100rczyk closed 1 month ago
0
Repository cleanup and updated README

#36 Mindflayer77 closed 2 months ago
0
added restore_best_weights parameter in EarlyStopping callback

#35 Mindflayer77 closed 4 months ago
0
Representatives evaluation

#34 Mindflayer77 closed 4 months ago
0
Representatives evaluation

#33 Mindflayer77 closed 4 months ago
0
Stage2 experiments: results for different size test data, efficiency for each fruit

#32 c100rczyk closed 4 months ago
0
added model evaluation based on many representatives

#31 Mindflayer77 closed 4 months ago
0
Version for testing contrastive loss on kaggle.

#30 c100rczyk closed 4 months ago
0
Triplet loss optimization

#29 Mindflayer77 closed 4 months ago
0
Connecting with Kaggle

#28 c100rczyk closed 4 months ago
6
code refactoring of contrastive loss. Other functionatities

#27 c100rczyk closed 5 months ago
0
How to improve our loss function

#26 c100rczyk opened 5 months ago
7
Using fine-tuning, compare different models

#25 c100rczyk opened 5 months ago
1
L2_normalization layer instead of sigmoid (in Contrastive loss)

#24 c100rczyk closed 5 months ago
2
Generating new images with ImageDataGenerator

#23 c100rczyk closed 4 months ago
2
top5 metric, mean of 5 random examples as representative of class, add script

#22 c100rczyk closed 5 months ago
0
Added metrics evaluation functionality to triplet loss and added utility script for extracting dataset

#21 Mindflayer77 closed 5 months ago
0
Code refactoring

#20 Mindflayer77 closed 5 months ago
0
new metric description

#19 c100rczyk closed 5 months ago
0
Implement metrics - presentation of metric

#18 c100rczyk closed 5 months ago
0
Searching for new databases

#17 c100rczyk closed 4 months ago
0
Implement summary of model with triplet

#16 c100rczyk closed 4 months ago
0
Visualize wrong predictions

#15 c100rczyk opened 5 months ago
0
Work on implementing the new metrics

#14 c100rczyk closed 5 months ago
6
Learn how to save models in files

#13 c100rczyk closed 5 months ago
0
Code refactoring

#12 Mindflayer77 closed 5 months ago
0
New special constructed metrics that is useful in our case

#11 c100rczyk closed 5 months ago
0
Place to combined contrastive and triplet models, to-do list

#10 c100rczyk closed 6 months ago
0
Contrastive loss arrange into files

#9 c100rczyk closed 6 months ago
0
Contrastive loss: a complete model in its basic assumptions. The model learns to distinguish photos well

#8 c100rczyk closed 5 months ago
0
Added a triplet loss model with some utility functions

#7 Mindflayer77 closed 6 months ago
0
Refactor of function reading fruit types and slight improvement of vi…

#6 Mindflayer77 closed 6 months ago
0
Finding Subfolders in dataset, solved problem with data structure

#5 c100rczyk closed 6 months ago
0
Better creating dataset for fitting model

#4 c100rczyk closed 6 months ago
0
loading and creating better data for fit model

#3 c100rczyk closed 6 months ago
0
Contrast small data

#2 c100rczyk closed 6 months ago
0
Added utility script for copying random files from a dataset to desir…

#1 Mindflayer77 closed 6 months ago
0