Questions tagged [mlmodel]
98 questions
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0 answers
How to add a pretrained ML Core model to Flutter app?
I have a pretrained .mlmodel file, but when I add to my Runner, I can't access it from AppDelegate.swift. I have my app written in Flutter. Also it works with a different project written in Swift.

edvardgospel
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How to visualize timeseries model prediction in Grafana
I created my own timeseries model and I exported it.
By now I'm visualizing real data in a local Grafana dashboard (I'm not using Grafana Cloud), using Influxdb as data source.
How can I visualize also my model predictions in the same dashboard?…

AT181903
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1 answer
CoreMl issue with xcode , multiple resources named 'coremldata.bin' in target 'AppModule'
I am working on my swift playgrounds project. I added the FitnessMoves.mlmodelc file to my playgrounds project. But the i get the multiple resources named 'coremldata.bin' in target 'AppModule' error from xcode. The error disappears when i change 3…

Omer Senol
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- 1
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Convert UIImage to MLMultiArray with 4 dimension shape
I have tried to convert UIImage into MLMultiArray to pass as input to CoreML model. It's successful with 3 dimension of shape. But I don't know how to do with 4 dimension of shape.
shape like: [1, 3, 512, 512]
the input of model
Thank.
func…
0
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0 answers
typeerror: Image input, 'imagePath' must be of type PIL.Image.Image in the input dict
Good morning everyone, I have my .mlmodel trained on license plates with size of 1920x1080.
My video test is also in the same resolution, when I am running the code it returns this error:
typeerror: Image input, 'imagePath' must be of type…

Elise siera
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- 1
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I am facing an error while using MLmodel in iOS
Error Name: "Failed to load Core ML model." UserInfo={NSLocalizedDescription=Failed to load Core ML model.}
//Code
/* 5. Declare a function for image classification */
func detect(image: CIImage) {
let config = MLModelConfiguration()
…

Vibhor Gupta
- 1
- 2
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1 answer
how to convert imagenet/mobilenet_v2_130_224/classification into mlmodel
i m very new to this but I am trying to solve the issue somehow. this is my convert.py file
import numpy as n
import tensorflow as tf
import coremltools as ct
print(n.__version__)
print(tf.__version__)
print(ct.__version__)
loaded_model =…

asduskun
- 17
- 5
0
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Converting a Caffe Model into MLModel
I am following a course on Udemy and now the instructor is converting her Caffe Model into MLModel on Python 2.7 ( I know very outdated). She created this .py file for that
import coremltools
caffe_model = ('oxford102.caffemodel',…

asduskun
- 17
- 5
0
votes
1 answer
Transform boundingBox according to angle and rotation
I am trying to implement a plastic cards detector using Vision ML Model which was trained on a custom data set. I am drawing rectangles according to bounding boxes coordinates over the camera view and it works like a charm. BUT. It doesn't react to…

Emilia Larssen
- 65
- 13
0
votes
1 answer
CoreML output image size is not the same as the model prediction output image size
I tried to change the existing MLModel (https://drive.google.com/file/d/16JEWh48fgQc8az7avROePOd-PYda0Yi2/view?usp=sharing) output size from 2048x2048 (existing output size) to 1024x1024.
I used this script to change the output image size:
spec =…

Roi Mulia
- 5,626
- 11
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- 105
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1 answer
How to convert MLMultiArray to UIImage on Swift?
Im working on CoreML project. I have an image that needs to be stylized using a mlmodel. I'm using CoreMLHelpers for this. Im having an issue getting the output.
func prediction(input: MLModelProviderInput) throws -> MLModelProviderOutput {
…

Ryan Aluvihare
- 225
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1 answer
Memory Crash when detecting object with MLModel
I have made an MLModel in CreateML that will detect hockey pucks in images. I use the camera on the phone to take a video, and while it is being recorded, I convert each frame to a CGImage and try to detect pucks in each frame.
At first when I…

Alex Aghajanov
- 294
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- 17
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1 answer
If I train a custom tokenizer on my dataset, I would still be able to leverage a pre-trained model weight
This is a declaration, but I'm not sure it is correct. I can elaborate.
I have a considerably large dataset (23Gb). I'd like to pre-train the Roberta-base or XLM-Roberta-base, so my language model would fit better to be used in further downstream…

rdemorais
- 243
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- 11
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1 answer
Which all metrics to use in Fine Tuning Masked Language Modelling and use validation data using Pytorch Trainer API
I am training a MLM model using Pytorch Trainer API. Here is my initial code.
data_collator = DataCollatorForWholeWordMask(tokenizer=tokenizer, mlm=True, mlm_probability=0.15)
class SEDataset(torch.utils.data.Dataset):
def __init__(self,…

MAC
- 1,345
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ImportError: No module named speech_recognition
Getting ImportError: No module named speech_recognition,
Code Snippet:
# for speech-to-text
import speech_recognition as sr
# for text-to-speech
from gtts import gTTS
# for language model
import transformers
import os
import time
# for…

Kshitij Sinha
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