Convert Blf To Mf4 New [LATEST]
This method is ideal if you have 500+ files to convert overnight.
Prerequisites: Install the library:
pip install asammdf
The Script:
from asammdf import MDFIn the world of vehicle development and validation, data logging is non-negotiable. Whether you’re debugging a CAN bus glitch or calibrating an ADAS feature, you will inevitably face a compatibility wall between two giants: BLF (Binary Logging Format) and MF4 (Measurement Data Format). convert blf to mf4 new
While BLF is the champion of high-throughput, lossless CAN/LIN logging (courtesy of Vector), MF4 (ASAM MDF v4) is the universal standard for post-processing, simulation, and toolchain interoperability.
So, how do you bridge the gap? Here is everything you need to know about converting BLF to MF4 in 2024/2025.
This is the most common method for engineers who already have access to Vector tools. This method is ideal if you have 500+
Cause: Your BLF contains Ethernet (Some/IP) or AVB logs. Legacy converters drop this data. Fix: You must use Vector CANoe 16+ or asammdf v7.0+ which have native support for Ethernet in BLF to MF4 migration.
@echo off for %%f in (*.blf) do ( echo Converting %%f ... mdf4 convert "%%f" --dbc project.dbc --output "%%~nf.mf4" )mdf = MDF() with BLFReader('my_log.blf') as reader: for msg in reader: # Decode using dbc (requires canmatrix or cantools) # Option 1: using cantools (install: pip install cantools) import cantools db = cantools.database.load_file(dbc_file) decoded = db.decode_message(msg.arbitration_id, msg.data)
# Add as signals to MDF – requires custom group/channel creation # For simplicity, use the command line tool (see below)
Easier: Use the mdf4 command line tool (installed with asammdf)
# Convert with DBC (signals become separate channels)
mdf4 convert my_log.blf --dbc vehicle.dbc --output my_log.mf4
The Binary Log Format (BLF) is a compact, binary format traditionally used by Vector hardware (like CANoe, CANalyzer, and VN loggers). It is optimized for high-speed logging of bus events. BLF files are excellent for immediate analysis within the Vector ecosystem but can struggle with massive datasets involving video or Ethernet data. The Script: from asammdf import MDF In the