I'm loading this object detection model in python. I can load it with the following lines of code:
import tflite_runtime.interpreter as tflite
model_path = 'path_to_model_file.tf'
interpreter = tflite.Interpreter(model_path)
I'm able to perform inferences on this without any problem. However, labels are suposed to be included in the metadata, according to model's documentation, but I can't extract it.
The closest I was, it was when following this:
from tflite_support import metadata as _metadata
displayer = _metadata.MetadataDisplayer.with_model_file(model_path)
export_json_file = "extracted_metadata.json")
json_file = displayer.get_metadata_json()
# Optional: write out the metadata as a json file
with open(export_json_file, "w") as f:
f.write(json_file)
but the very first line of code, fails with this error: {AtributeError}'int' object has no attribute 'tobytes'.
How to extract it?
If you only care about the label file, you can simply run command like unzip model_path on Linux or Mac. TFLite model with metadata is essentially a zip file. See the public introduction for more details.
You code snippet to extract metadata works on my end. Make sure to double check model_path. It should be a string, such as "lite-model_ssd_mobilenet_v1_1_metadata_2.tflite".
If you'd like to read label files in an Android app, here is the sample code to do so.
Related
I have been coding in Robotframework and Python:
I use get_model() to get model from a .robot file. Then modify, the model using ModelTransformer() which works on the basic idea of AST(Abstract Syntax Trees).
But after finishing the modification, when I try to save the modified model into a new .robot file using .save() function, this completely changes the format of the new robot file.
# Code to save new robot file
model.save("New.robot")
Can anyone please let me know, how to solve this ?
Edited:
from robot.api import TestData
from robot.api.parsing import ModelTransformer
# read the original model from the .robot file
test_data = TestData(source='original.robot')
# apply your modifications using the ModelTransformer
transformer = ModelTransformer()
transformed_data = transformer.visit(test_data)
# write the modified model to a new .robot file
transformed_data.save(filename='new.robot')
# write the modified model to a new .robot file
with open('new.robot', 'w') as file:
transformed_data.save(file)
Although there's a lot of subjects related to my question already, the answers are usually no understandable for me, as I am just a beginner in the "writting scripts in Python" field.
Here is my situation :
There's a machine learning software that writes models in a .pkl format at the end of its learning phase. I would like to make those model.pkl files openable by an operator to check what there is inside the model. Thus I began to write a script that would use the pickle.load method and write the data contained in my model.pkl into a .txt file. Here's what I wrote to begin with:
import pickle
import os
model_path=input("Model Path = ")
with open(model_path, "rb") as model :
load = pickle.load(model, encoding='utf-8')
new_model_path = model_path.split('.pkl')[0] +'.txt'
print("creating new file at : ", new_model_path)
model_readable = open(new_model_path, 'rt')
model_readable.write(load)
print("writing model as readable : ", load)
model_readable.close()
model.close()
If I try to run it here's the output :
python3.7 unpickler.py
Model Path = /home/ouriacc/Desktop/workspace/SESAM/Base_de_tests/Anomalie_1/Models/OCSVM/EyeSat/CI_HEATER_CAMERA_VOLTAGE.pkl
Traceback (most recent call last):
File "unpickler.py", line 7, in <module>
load = pickle.load(model, encoding='utf-8')
_pickle.UnpicklingError: invalid load key, '_'.
I couldn't find any explanation about this error that didn't imply an incomplete or corrupted download, which can't be my case here as the model.pkl files are not modified once they've been created by the AI software.
Could someone help me to solve the error or even indicate me an other methode to achieve my goal ? All I need is a script that gives access for a user to what the .pkl file contains.
Thank you very much !
So I figured out why #wundermahn asked about scikit-learn. It seems my model.pkl files were generated by joblib and not exactly pickle library. This is why it wouldn't work apparently. It changed my code by replacing pickle.load() by joblid.load() and it works better !
Thank you !
I am using FloPy to load an existing MODFLOW-USG model.
load_model = flopy.modflow.Modflow.load('HTHModel',model_ws='model_ws',version='mfusg',exe_name='exe_name',
verbose = True, check = False)
In the process of loading the LPF package, python shows that hk and hani have been successfully loaded, and then the following error is reported：
loading bas6 package file...
adding Package: BAS6
BAS6 package load...success
loading lpf package file...
loading IBCFCB, HDRY, NPLPF...
loading LAYTYP...
loading LAYAVG...
loading CHANI...
loading LAYVKA...
loading LAYWET...
loading hk layer 1...
loading hani layer 1...
D:\Anaconda\program\lib\site-packages\flopy\utils\util_array.py in parse_control_record(line,
current_unit, dtype, ext_unit_dict, array_format)
3215 locat = int(line[0:10].strip())
ValueError: invalid literal for int() with base 10: '-877.0
How can I solve this kind of problem.
By the way, I created this model by using the"save native text copy" function in GMS. Flopy can read other contents in the LPF package normally, and the position where it reports the error appears in the part of reading the [ANGLEX(NJAG)] data.
I compared the LFP file with the input and output description of MODFLOW-USG, and it meets the format requirements of the input file.
I am a newbie to pyhton and flopy and this question confused me a lot. Thank you very much for providing me with some reference information, whether it is about Python, FloPy, MODFLOW-USG or GMS.
Can you upload your lpf file? Then I can check this out. But at first glance, that "'" before the -877.0 looks suspect - is that in the lpf file?
How can I read edf data using Python? I want to analyze data of a edf file, but I cannot read it using pyEDFlib. It threw the error OSError: The file is discontinous and cannot be read and I'm not sure why.
I assume that your data are biological time-series like EEG, is this correct? If so, you can use the MNE library.
You have to install it first. Since it is not a standard library, take a look here. Then, you can use the read_raw_edf() method.
For example:
import mne
file = "my_path\\my_file.edf"
data = mne.io.read_raw_edf(file)
raw_data = data.get_data()
# you can get the metadata included in the file and a list of all channels:
info = data.info
channels = data.ch_names
See documentation in the links above for other properties of the data object
I'm hoping my problem can be solved with some geojson expertise. The problem I'm having has to do with RhinoPython - the embedded IronPython engine in McNeel's Rhino 5 (more info here: http://python.rhino3d.com/). I don't think its necessary to be an expert on RhinoPython to answer this question.
I'm trying to load a geojson file in RhinoPython. Because you can't import the geojson module into RhinoPython like in Python I'm using this custom module GeoJson2Rhino provided here: https://github.com/localcode/rhinopythonscripts/blob/master/GeoJson2Rhino.py
Right now my script looks like this:
`import rhinoscriptsyntax as rs
import sys
rp_scripts = "rhinopythonscripts"
sys.path.append(rp_scripts)
import rhinopythonscripts
import GeoJson2Rhino as geojson
layer_1 = rs.GetLayer(layer='Layer 01')
layer_color = rs.LayerColor(layer_1)
f = open('test_3.geojson')
gj_data = geojson.load(f,layer_1,layer_color)
f.close()`
In particular:
f = open('test_3.geojson')
gj_data = geojson.load(f)
works fine when I'm trying to extract geojson data from regular python 2.7. However in RhinoPython I'm getting the following error message: Message: expected string for parameter 'text' but got 'file'; in reference to gj_data = geojson.load(f).
I've been looking at the GeoJson2Rhino script linked above and I think I've set the parameters for the function correctly. As far as I can tell it doesn't seem to recognize my geojson file, and wants it as a string. Is there an alternative file open function I can use to get the function to recognize it as a geojson file?
Judging by the error message, it looks like the load method requires a string as the first input but in the above example a file object is being passed instead. Try this...
f = open('test_3.geojson')
g = f.read(); # read contents of 'f' into a string
gj_data = geojson.load(g)
...or, if you don't actually need the file object...
g = open('test_3.geojson').read() # get the contents of the geojson file directly
gj_data = geojson.load(g)
See here for more information about reading files in python.