ibr-defused-algorithms 0.3.2

TensorFlow IBR5, IBR6, and fused IBR algorithms with MobileNetV2 variants

ibr-defused-algorithms

Independent PyPI module for:

• IBR5Net (5-stage from-scratch CNN)
• IBR6Net (6-stage from-scratch CNN)
• FusedIBR5IBR6 (late fusion of IBR5 + IBR6 features)
• IBR5MobileNetV2 (MobileNetV2 IBR5-style branch)
• IBR6MobileNetV2 (MobileNetV2 IBR6-style branch)
• FusedIBR5IBR6MobileNetV2 (fused MobileNetV2 branches)

TensorFlow/Keras backend only.

Install

pip install ibr-defused-algorithms

TensorFlow/Keras Usage

import tensorflow as tf
from ibr_defused_algo import (
    FusedIBR5IBR6,
    FusedIBR5IBR6MobileNetV2,
    IBR5MobileNetV2,
    IBR5Net,
    IBR6MobileNetV2,
    IBR6Net,
)

# TensorFlow models expect NHWC tensors: [batch, height, width, channels]
x = tf.random.normal((4, 224, 224, 3))

ibr5 = IBR5Net(num_classes=7)
ibr6 = IBR6Net(num_classes=7)
fused = FusedIBR5IBR6(num_classes=7)
ibr5_mnv2 = IBR5MobileNetV2(num_classes=7, pretrained=False)
ibr6_mnv2 = IBR6MobileNetV2(num_classes=7, pretrained=False)
fused_mnv2 = FusedIBR5IBR6MobileNetV2(num_classes=7, pretrained=False)

print(ibr5(x).shape)     # [4, 7]
print(ibr6(x).shape)     # [4, 7]
print(fused(x).shape)    # [4, 7]
print(ibr5_mnv2(x).shape)   # [4, 7]
print(ibr6_mnv2(x).shape)   # [4, 7]
print(fused_mnv2(x).shape)  # [4, 7]

# Compile and train:
ibr5.compile(
    optimizer='adam',
    loss='sparse_categorical_crossentropy',
    metrics=['accuracy']
)
# ibr5.fit(train_ds, epochs=10)

Framework sanity check (recommended in notebooks)

import tensorflow as tf
from ibr_defused_algo.tensorflow_models import IBR5Net

print("Module:", IBR5Net.__module__)  # should be: ibr_defused_algo.tensorflow_models
model = IBR5Net(num_classes=7)
print("Is tf.keras.Model:", isinstance(model, tf.keras.Model))

If that last line prints False, the runtime is importing the wrong backend. Reinstall and restart kernel.

Build & Publish

python -m pip install --upgrade build twine
python -m build
python -m twine check dist/*
python -m twine upload dist/*