@@ -29,7 +29,7 @@ Installation time is less than 5 minutes.
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@@ -29,7 +29,7 @@ Installation time is less than 5 minutes.
1. Clone this repository ("git clone https://github.com/lpbsscientist/YeaZ-GUI").
1. Clone this repository ("git clone https://github.com/lpbsscientist/YeaZ-GUI").
2. Download the parameters for the neural network:
2. Download the parameters for the neural network:
3. Download the parameters for segmenting phase contrast images from: https://drive.google.com/file/d/1UTivmx_aEMpeGdOkCZO1CS9mcdJ3zmw2. Put the file in the folder `/unet`.
3. Download the parameters for segmenting phase contrast images from: https://drive.google.com/file/d/1UTivmx_aEMpeGdOkCZO1CS9mcdJ3zmw2/view?usp=sharing. Put the file in the folder `/unet`.
4. Download the parameters for segmenting bright-field images from: https://drive.google.com/file/d/1VYBzUtgLQcS-w6S9XpjGcSBacKyItYJ_/view?usp=sharing. Put the file in the folder `/unet`.
4. Download the parameters for segmenting bright-field images from: https://drive.google.com/file/d/1VYBzUtgLQcS-w6S9XpjGcSBacKyItYJ_/view?usp=sharing. Put the file in the folder `/unet`.
5. If you don't have conda or miniconda installed, download it from https://docs.conda.io/en/latest/miniconda.html.
5. If you don't have conda or miniconda installed, download it from https://docs.conda.io/en/latest/miniconda.html.
6. In the command line, create a virtual environment with python 3.6.8 with the command `conda create -n YeaZ python=3.6.8`.
6. In the command line, create a virtual environment with python 3.6.8 with the command `conda create -n YeaZ python=3.6.8`.
