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c100rczyk
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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.
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Create Dataset
#41
c100rczyk
opened
1 month ago
1
Capture images from camera 2D
#40
c100rczyk
closed
2 months ago
0
Embeddings storage - saving and downloading
#39
c100rczyk
opened
2 months ago
0
Create application for visualization and interaction with implemented program
#38
c100rczyk
opened
2 months ago
0
Arranging code adding methods
#37
c100rczyk
closed
3 months ago
0
Repository cleanup and updated README
#36
Mindflayer77
closed
4 months ago
0
added restore_best_weights parameter in EarlyStopping callback
#35
Mindflayer77
closed
6 months ago
0
Representatives evaluation
#34
Mindflayer77
closed
6 months ago
0
Representatives evaluation
#33
Mindflayer77
closed
6 months ago
0
Stage2 experiments: results for different size test data, efficiency for each fruit
#32
c100rczyk
closed
6 months ago
0
added model evaluation based on many representatives
#31
Mindflayer77
closed
6 months ago
0
Version for testing contrastive loss on kaggle.
#30
c100rczyk
closed
6 months ago
0
Triplet loss optimization
#29
Mindflayer77
closed
6 months ago
0
Connecting with Kaggle
#28
c100rczyk
closed
5 months ago
6
code refactoring of contrastive loss. Other functionatities
#27
c100rczyk
closed
6 months ago
0
How to improve our loss function
#26
c100rczyk
opened
6 months ago
7
Using fine-tuning, compare different models
#25
c100rczyk
opened
6 months ago
1
L2_normalization layer instead of sigmoid (in Contrastive loss)
#24
c100rczyk
closed
6 months ago
2
Generating new images with ImageDataGenerator
#23
c100rczyk
closed
5 months ago
2
top5 metric, mean of 5 random examples as representative of class, add script
#22
c100rczyk
closed
6 months ago
0
Added metrics evaluation functionality to triplet loss and added utility script for extracting dataset
#21
Mindflayer77
closed
6 months ago
0
Code refactoring
#20
Mindflayer77
closed
7 months ago
0
new metric description
#19
c100rczyk
closed
7 months ago
0
Implement metrics - presentation of metric
#18
c100rczyk
closed
7 months ago
0
Searching for new databases
#17
c100rczyk
closed
5 months ago
0
Implement summary of model with triplet
#16
c100rczyk
closed
5 months ago
0
Visualize wrong predictions
#15
c100rczyk
opened
7 months ago
0
Work on implementing the new metrics
#14
c100rczyk
closed
6 months ago
6
Learn how to save models in files
#13
c100rczyk
closed
6 months ago
0
Code refactoring
#12
Mindflayer77
closed
7 months ago
0
New special constructed metrics that is useful in our case
#11
c100rczyk
closed
6 months ago
0
Place to combined contrastive and triplet models, to-do list
#10
c100rczyk
closed
7 months ago
0
Contrastive loss arrange into files
#9
c100rczyk
closed
7 months ago
0
Contrastive loss: a complete model in its basic assumptions. The model learns to distinguish photos well
#8
c100rczyk
closed
6 months ago
0
Added a triplet loss model with some utility functions
#7
Mindflayer77
closed
7 months ago
0
Refactor of function reading fruit types and slight improvement of vi…
#6
Mindflayer77
closed
7 months ago
0
Finding Subfolders in dataset, solved problem with data structure
#5
c100rczyk
closed
8 months ago
0
Better creating dataset for fitting model
#4
c100rczyk
closed
8 months ago
0
loading and creating better data for fit model
#3
c100rczyk
closed
8 months ago
0
Contrast small data
#2
c100rczyk
closed
8 months ago
0
Added utility script for copying random files from a dataset to desir…
#1
Mindflayer77
closed
8 months ago
0