Abstract: A control method is provided for a lamp. The lamp includes a plurality of light-emitting units, and the method includes: receiving target RGB data from a client terminal; and when the target RGB data exists in a correspondence relationship between RGB data and color temperature values, determining a target color temperature value corresponding to the target RGB data based on the correspondence relationship. The correspondence relationship between the RGB data and color temperature values is used to convert color temperature data into corresponding RGB data when an original Tuya protocol does not support color temperature data transmission. The method also includes controlling the plurality of light-emitting units to display corresponding lighting effect according to the target color temperature value.

Abstract: A control method is provided for a lamp. The lamp includes a plurality of light-emitting units, and the method includes: receiving target RGB data from a client terminal; and when the target RGB data exists in a correspondence relationship between RGB data and color temperature values, determining a target color temperature value corresponding to the target RGB data based on the correspondence relationship. The correspondence relationship between the RGB data and color temperature values is used to convert color temperature data into corresponding RGB data when an original Tuya protocol does not support color temperature data transmission. The method also includes controlling the plurality of light-emitting units to display corresponding lighting effect according to the target color temperature value.

Abstract: An image semantic segmentation algorithm and system based on multi-channel deep weighted aggregation where the image semantic segmentation algorithm is based on multi-channel deep weighted aggregation. The aggregation includes semantic features with definite class information in an image, transition semantic features between low-level semantic and high-level semantic, and semantic features of context logic relationship in an image are extracted by a low-level semantic channel, an auxiliary semantic channel and a high-level semantic channel, respectively. The aggregation further includes three different semantic features obtained in S1 are fused by weighted aggregation to obtain global semantic information of the image; S3, the semantic features output from respective semantic channels in S1 and the global semantic information in S2 are used to compute loss function for training.