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Generate precise human body masks for editing and segmentation tasks in digital artwork using DeepLabV3+ model.
The HumanParts node is a powerful tool designed to generate masks for various human parts within an image. Utilizing the DeepLabV3+ model with a ResNet50 backbone, this node is adept at identifying and isolating different segments of the human body, such as the face, hair, arms, and clothing, among others. The model, trained by Keras-io and converted to ONNX format, ensures high accuracy and efficiency in segmentation tasks. This node is particularly beneficial for AI artists and designers who need to manipulate or analyze specific human features in their digital artwork. By providing precise masks, it allows for detailed editing and creative control over human elements in images, enhancing the overall quality and customization of visual projects.
This parameter represents the input image that you want to process. It is the source from which the node will generate masks for the human parts. The image should be in a compatible format that the node can process effectively.
This boolean parameter determines whether the background should be included in the mask. By default, it is set to exclude the background, focusing only on human parts. Inverting this mask will highlight the human parts instead.
This boolean parameter, enabled by default, specifies whether the face, including features like eyes and mouth, should be included in the mask. It allows for detailed facial segmentation, which is crucial for portrait editing and facial recognition tasks.
This parameter controls whether hair, including facial hair like beards and mustaches, should be part of the mask. It is useful for tasks that require hair styling or color changes in digital images.
This parameter indicates whether glasses, including sunglasses, should be included in the mask. It helps in scenarios where eyewear needs to be highlighted or modified separately from the face.
This parameter specifies whether top clothing items like shirts and T-shirts should be included in the mask. It is essential for fashion-related projects where clothing needs to be isolated for design or color adjustments.
This parameter determines whether bottom clothing items like pants and shorts should be part of the mask. It is useful for styling and fashion applications where lower body garments need to be edited.
This parameter controls whether the skin of the torso, excluding clothes but possibly including the neck, should be included in the mask. It is important for tasks that require skin tone adjustments or body art applications.
This parameter specifies whether the left arm, excluding clothing but possibly including the hand, should be part of the mask. It is useful for tasks that involve arm tattoos or skin tone modifications.
This parameter indicates whether the right arm, excluding clothing but possibly including the hand, should be included in the mask. It is similar to the left-arm parameter but focuses on the opposite limb.
This parameter determines whether the left leg, excluding clothing but possibly including the foot, should be part of the mask. It is essential for tasks that involve leg tattoos or skin tone adjustments.
The output parameter mask
is a binary or multi-channel image that represents the segmented human parts as specified by the input parameters. This mask is crucial for isolating specific areas of the human body in the input image, allowing for targeted editing and manipulation. The mask can be used to apply effects, change colors, or perform other modifications on the selected human parts, providing a high level of control and precision in digital artwork.
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