Read the equation
In KimiK25VisionProcessor.preprocess, this statement defines or updates image_std_inv. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
Terms & definitions
The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.
How it works
Read image_std_inv as the quantity being defined or updated by this relation.
Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.
Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.
Assumptions & limits
Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.
Original context
Read the surrounding source passage
raise ValueError("Unsupported type: {}".format(
item['type']))
normalized_pixel_values = []
image_std_inv = 1.0 / np.array(self.media_proc_cfg['image_std'])
image_mean = np.array(self.media_proc_cfg['image_mean'])
for pixels in pixel_values:
pixels = normalize(pixels, image_mean, image_std_inv)Exact original notation
image_std_inv = 1.0 / np.array(self.media_proc_cfg['image_std'])
Related builds
Sources & provenance
image_std_inv = 1.0 / np.array(self.media_proc_cfg['image_std'])