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bmp.py
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from ctypes import sizeof
import struct
import numpy as np
class BmpFileHeader:
type = 0
size = 0
reserved1 = 0
reserved2 = 0
off_bits = 0
class BmpImageHeader:
header_size = 0
width = 0
height = 0
planes = 0
bit_count = 0
compression = 0
size_of_image = 0
xpm = 0
ypm = 0
clr_used = 0
clr_imp = 0
red_mask = 0
green_mask = 0
blue_mask = 0
alpha_mask = 0
cs_type = 0
cie = [0] * 9
gamma = [0] * 3
class Bmp:
file = BmpFileHeader()
image = BmpImageHeader()
def write_bmp_file(buffer, width, height, file_name, palette):
extracted = Bmp()
# Setup File Header
extracted.file.type = np.frombuffer(b'BM', dtype='<H')[0]
extracted.file.size = 122 + width * height * 2
extracted.file.off_bits = 122
# Image Header
extracted.image.header_size = 108
extracted.image.width = width
extracted.image.height = -height
extracted.image.planes = 1
extracted.image.bit_count = 16
extracted.image.compression = 3 # BI_BITFIELDS
extracted.image.size_of_image = width * height * 2
extracted.image.xpm = extracted.image.ypm = extracted.image.clr_used = extracted.image.clr_imp = 0
# Default / 769
red_mask = 0xF800
green_mask = 0x7E0
blue_mask = 0x1F
alpha_mask = 0
# 4444
if(palette == 770 or palette == 2306):
extracted.image.red_mask = 0x0F00
extracted.image.green_mask = 0xF0
extracted.image.blue_mask = 0xF
extracted.image.alpha_mask = 0xF000
elif(palette == 768):
extracted.image.red_mask = 0x7C00
extracted.image.green_mask = 0x3E0
extracted.image.blue_mask = 0x1F
extracted.image.alpha_mask = 0x8000
elif(palette == 2305):
extracted.image.red_mask = 0xF800
extracted.image.green_mask = 0x7E0
extracted.image.blue_mask = 0x1F
extracted.image.alpha_mask = 0
else:
extracted.image.red_mask = red_mask
extracted.image.green_mask = green_mask
extracted.image.blue_mask = blue_mask
extracted.image.alpha_mask = alpha_mask
with open(file_name, "wb") as output:
output.write(struct.pack("<H", extracted.file.type))
output.write(struct.pack("<I", extracted.file.size))
output.write(struct.pack("<H", extracted.file.reserved1))
output.write(struct.pack("<H", extracted.file.reserved2))
output.write(struct.pack("<I", extracted.file.off_bits))
output.write(struct.pack("<I", extracted.image.header_size))
output.write(struct.pack("<I", extracted.image.width))
output.write(struct.pack("<i", extracted.image.height))
output.write(struct.pack("<H", extracted.image.planes))
output.write(struct.pack("<H", extracted.image.bit_count))
output.write(struct.pack("<I", extracted.image.compression))
output.write(struct.pack("<I", extracted.image.size_of_image))
output.write(struct.pack("<I", extracted.image.xpm))
output.write(struct.pack("<I", extracted.image.ypm))
output.write(struct.pack("<I", extracted.image.clr_used))
output.write(struct.pack("<I", extracted.image.clr_imp))
output.write(struct.pack("<I", extracted.image.red_mask))
output.write(struct.pack("<I", extracted.image.green_mask))
output.write(struct.pack("<I", extracted.image.blue_mask))
output.write(struct.pack("<I", extracted.image.alpha_mask))
output.write(struct.pack("<I", extracted.image.cs_type))
for i in range(3 * 3):
output.write(struct.pack("<I", extracted.image.cie[i]))
for i in range(3):
output.write(struct.pack("<I", extracted.image.gamma[i]))
for i in buffer:
output.write(struct.pack("<H", i))
output.close()