Hello, thank you for using the code provided by Hasty. Please note that some code blocks might not be 100% complete and ready to be run as is. This is done intentionally as we focus on implementing only the most challenging parts that might be tough to pick up from scratch. View our code block as a LEGO block - you can’t use it as a standalone solution, but you can take it and add to your system to complement it. If you have questions about using the tool, please get in touch with us to get direct help from the Hasty team.
project_folder
|-- label_classes.json
|-- dataset1_name
|-- image1.png
|-- image2.png
|-- ...
|-- dataset2_name
|-- image1.png
|-- image2.png
|-- ...
|-- ...
The file contains the definition of all label classes and corresponding pixel values of the images
Hello, thank you for using the code provided by Hasty. Please note that some code blocks might not be 100% complete and ready to be run as is. This is done intentionally as we focus on implementing only the most challenging parts that might be tough to pick up from scratch. View our code block as a LEGO block - you can’t use it as a standalone solution, but you can take it and add to your system to complement it. If you have questions about using the tool, please get in touch with us to get direct help from the Hasty team.
[
{
"png_index": 1,
"class_name": "bedclothes",
"color": "#4df3ce",
"class_type": "object"
},
{
"png_index": 2,
"class_name": "building",
"color": "#4c4ffc",
"class_type": "object"
},
{...},
{...}
]
png_index integer\
Pixel index
class_name string\
The name of the class
color string\
Associated with the label class color, in format #RRGGBBAA
class_type string Class type, "object" or "background"
All the images contain a single channel and are stored as 8-bit pixels, black and white. 0 - is a background.
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