Abstract: An intra-frame predictive coding method, medium and system for a 360-degree video belong to video coding field are provided. The method includes: inputting features of a coding unit (CU) block to be partitioned into a neural network when intra-frame block partition (IFBP) is performed on a current CU block (CCUB), skipping a partition mode that the output of the neural network is smaller than threshold, and obtaining a plurality of IFBP schemes; determining a length n of a rough mode decision candidate list according to a CU feature and a texture feature of the sub-CU block when an intra-frame angle mode is decided to decide the intra-frame angle mode and to fill pixels in each IFBP scheme; calculating rate distortion optimization (RDO) loss between each IFBP scheme and the CCUB after pixel filling and performing intra-frame coding predictive coding on the CCUB based on the scheme.