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trezor-firmware/core/tools/toif_convert

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#!/usr/bin/env python3
from PIL import Image
import io
import sys
import struct
import zlib
from os.path import basename
def png2toif(input_data):
def process_rgb(w, h, pix):
data = bytes()
for j in range(h):
for i in range(w):
r, g, b = pix[i, j]
c = ((r & 0xF8) << 8) | ((g & 0xFC) << 3) | ((b & 0xF8) >> 3)
data += struct.pack(">H", c)
return data
def process_grayscale(w, h, pix):
data = bytes()
for j in range(h):
for i in range(w // 2):
l1, l2 = pix[i * 2, j], pix[i * 2 + 1, j]
c = (l1 & 0xF0) | (l2 >> 4)
data += struct.pack(">B", c)
return data
im = Image.open(io.BytesIO(input_data))
w, h = im.size
if im.mode not in ["RGB", "L"]:
raise ValueError("Unknown mode:", im.mode)
if im.mode == "L":
if w % 2 > 0:
raise ValueError("PNG file must have width divisible by 2")
pix = im.load()
if im.mode == "RGB":
pixeldata = process_rgb(w, h, pix)
else:
pixeldata = process_grayscale(w, h, pix)
z = zlib.compressobj(level=9, wbits=10)
zdata = z.compress(pixeldata) + z.flush()
zdata = zdata[2:-4] # strip header and checksum
data = b""
if im.mode == "RGB":
data += b"TOIf"
else:
data += b"TOIg"
data += struct.pack("<HH", w, h)
data += struct.pack("<I", len(zdata))
data += zdata
return data
"""
with open(ofn_py, "wb") as f:
f.write(("%s = %s\n" % (bname, data)).encode())
with open(ofn_h, "wt") as f:
f.write("// clang-format off\n")
f.write("static const uint8_t toi_%s[] = {\n" % bname)
f.write(" // magic\n")
if im.mode == "RGB":
f.write(" 'T', 'O', 'I', 'f',\n")
else:
f.write(" 'T', 'O', 'I', 'g',\n")
f.write(" // width (16-bit), height (16-bit)\n")
f.write(
" 0x%02x, 0x%02x, 0x%02x, 0x%02x,\n"
% (w & 0xFF, w >> 8, h & 0xFF, h >> 8)
)
l = len(zdata)
f.write(" // compressed data length (32-bit)\n")
f.write(
" 0x%02x, 0x%02x, 0x%02x, 0x%02x,\n"
% (l & 0xFF, (l >> 8) & 0xFF, (l >> 16) & 0xFF, l >> 24)
)
f.write(" // compressed data\n")
f.write(" ")
for b in zdata:
f.write(" 0x%02x," % b)
f.write("\n};\n")
"""
def toif2png(data):
def process_rgb(w, h, data):
pix = bytearray(w * h * 3)
for i in range(w * h):
c = (data[i * 2] << 8) + data[i * 2 + 1]
pix[i * 3 + 0] = (c & 0xF800) >> 8
pix[i * 3 + 1] = (c & 0x07C0) >> 3
pix[i * 3 + 2] = (c & 0x001F) << 3
return bytes(pix)
def process_grayscale(w, h, data):
pix = bytearray(w * h)
for i in range(w * h // 2):
pix[i * 2 + 0] = data[i] & 0xF0
pix[i * 2 + 1] = (data[i] & 0x0F) << 4
return bytes(pix)
if data[:4] != b"TOIf" and data[:4] != b"TOIg":
raise ValueError("Unknown TOIF header")
format = data[:4].decode().lower()
w, h = struct.unpack("<HH", data[4:8])
l = struct.unpack("<I", data[8:12])[0]
data = data[12:]
if len(data) != l:
raise ValueError("Compressed data length mismatch (%d vs %d)" % (len(data), l))
data = zlib.decompress(data, -10)
if format == "toif":
if len(data) != w * h * 2:
raise ValueError("Uncompressed data length mismatch (%d vs %d)" % (len(data), w * h * 2))
pix = process_rgb(w, h, data)
img = Image.frombuffer("RGB", (w, h), pix, "raw", "RGB", 0, 1)
ret = io.BytesIO()
img.save(ret, format="PNG")
return ret.getvalue()
if format == "toig":
if len(data) != w * h // 2:
raise ValueError("Uncompressed data length mismatch (%d vs %d)" % (len(data), w * h // 2))
pix = process_grayscale(w, h, data)
img = Image.frombuffer("L", (w, h), pix, "raw", "L", 0, 1)
ret = io.BytesIO()
img.save(ret, format="PNG")
return ret.getvalue()
def main():
if len(sys.argv) < 2:
print("Usage: toi_convert [input.png|input.toif] [output.toif|output.png]")
return 1
ifn, ofn = sys.argv[1], sys.argv[2]
if ifn.endswith(".png") and ofn.endswith(".toif"):
open(ofn, "wb").write(png2toif(open(ifn, "rb").read()))
elif ifn.endswith(".toif") and ofn.endswith(".png"):
open(ofn, "wb").write(toif2png(open(ifn, "rb").read()))
else:
print("Must provide a valid combination of PNG/TOIF or TOIF/PNG files")
return 2
if __name__ == "__main__":
main()