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jackperlo wants to merge 3 commits into from
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Release #2

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c34594d
[update] bug fixing
jackperlo Jan 9, 2026
7d028f1
[add] inceptionV3 x Cifar10
jackperlo Jan 16, 2026
dc51e81
[update] image
jackperlo Jan 16, 2026
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1,267 changes: 1,267 additions & 0 deletions Cifar10/CNN/inceptionV3.ipynb
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210 changes: 194 additions & 16 deletions Cifar10/cifar10_preprocessing.ipynb
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30 changes: 29 additions & 1 deletion Cifar10/config.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# !NOTE: constants MUST be in uppercase to be recognized by the codebase

# slice of images to evaluate the models on
N_IMAGES_SLICE = 2000
N_IMAGES_SLICE = slice(0, 2000)

# quantized models top-1 accuracies on quantized Cifar-10 output file path
MODELS_ACCURACY_PATH = './datasets_data/_models_evaluation_stats.txt'
Expand Down Expand Up @@ -46,6 +46,34 @@

#============================================================

# cifar10 x inceptionV3 uint8 preprocessed validation images outputs path
INCEPTIONV3_U8_MODEL_PATH = "./models_data/inceptionV3/inceptionV3_uint8_cifar10.tflite"
INCEPTIONV3_U8_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_inceptionV3/uint8/cifar10_u8_inceptionV3_validation'
INCEPTIONV3_U8_2K_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_inceptionV3/uint8/cifar10_u8_inceptionV3_2k_validation'
INCEPTIONV3_U8_500_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_inceptionV3/uint8/cifar10_u8_inceptionV3_500_validation'

# cifar10 x inceptionV3 int8 preprocessed validation images outputs path
INCEPTIONV3_I8_MODEL_PATH = "./models_data/inceptionV3/inceptionV3_int8_cifar10.tflite"
INCEPTIONV3_I8_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_inceptionV3/int8/cifar10_i8_inceptionV3_validation'
INCEPTIONV3_I8_2K_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_inceptionV3/int8/cifar10_i8_inceptionV3_2k_validation'
INCEPTIONV3_I8_500_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_inceptionV3/int8/cifar10_i8_inceptionV3_500_validation'

#============================================================

# cifar10 x resnet34 uint8 preprocessed validation images outputs path
RESNET34_U8_MODEL_PATH = "./models_data/resnet34/resnet34_uint8_cifar10.tflite"
RESNET34_U8_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_resnet34/uint8/cifar10_u8_resnet34_validation'
RESNET34_U8_2K_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_resnet34/uint8/cifar10_u8_resnet34_2k_validation'
RESNET34_U8_500_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_resnet34/uint8/cifar10_u8_resnet34_500_validation'

# cifar10 x resnet34 int8 preprocessed validation images outputs path
RESNET34_I8_MODEL_PATH = "./models_data/resnet34/resnet34_int8_cifar10.tflite"
RESNET34_I8_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_resnet34/int8/cifar10_i8_resnet34_validation'
RESNET34_I8_2K_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_resnet34/int8/cifar10_i8_resnet34_2k_validation'
RESNET34_I8_500_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_resnet34/int8/cifar10_i8_resnet34_500_validation'

#============================================================

# cifar10 x resnet50 uint8 preprocessed validation images outputs path
RESNET50_U8_MODEL_PATH = "./models_data/resnet50/resnet50_uint8_cifar10.tflite"
RESNET50_U8_VALIDATION_SET_PREPROCESSED_PATH = './datasets_data/cifar10_x_resnet50/uint8/cifar10_u8_resnet50_validation'
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2 changes: 1 addition & 1 deletion ImageNet2012/config.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# !NOTE: constants MUST be in uppercase to be recognized by the codebase

# slice of images to evaluate the models on
N_IMAGES_SLICE = 2000
N_IMAGES_SLICE = slice(0, 2000)

# quantized models top-1 accuracies on quantized Imagenet2012 output file path
MODELS_ACCURACY_PATH = './datasets_data/_models_evaluation_stats.txt'
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6 changes: 4 additions & 2 deletions download_models.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ case "$dataset" in
models=("efficientnetB0" "mobilenet" "mobilenetV2" "resnet50" "resnet152" "vgg16" "vit-b_16p_224")
;;
"cifar10")
models=("alexnet" "efficientnetB0" "mobilenet" "mobilenetV2" "resnet18" "resnet34" "resnet50" "resnet152" "vgg16")
models=("alexnet" "efficientnetB0" "mobilenet" "mobilenetV2" "resnet18" "resnet34" "resnet50" "resnet152" "vgg16" "inceptionV3")
;;
"gtsrb")
models=("mobilenet" "mobilenetV2" "resnet18" "resnet34")
Expand All @@ -44,7 +44,7 @@ done
# Step 3: Select precision
#########################################
case "$model" in
"lenet5"|"efficientnetB0"|"mobilenet"|"mobilenetV2"|"vgg16"|"alexnet"|'resnet18'|'resnet34'|'resnet50'|"resnet152"|"vit-b_16p_224")
"lenet5"|"efficientnetB0"|"mobilenet"|"mobilenetV2"|"vgg16"|"alexnet"|'resnet18'|'resnet34'|'resnet50'|"resnet152"|"vit-b_16p_224"|"inceptionV3")
precisions=("fp32" "uint8" "int8")
;;
*)
Expand Down Expand Up @@ -90,6 +90,8 @@ elif [[ "$model" == "mobilenetV2" && "$dataset" == "cifar10" ]]; then
REPO_ID="jack-perlo/MobileNetV2-Cifar10"
elif [[ "$model" == "vgg16" && "$dataset" == "cifar10" ]]; then
REPO_ID="jack-perlo/Vgg16-Cifar10"
elif [[ "$model" == "inceptionV3" && "$dataset" == "cifar10" ]]; then
REPO_ID="jack-perlo/InceptionV3-Cifar10"
elif [[ "$model" == "resnet50" && "$dataset" == "imagenet2012" ]]; then
REPO_ID="jack-perlo/ResNet50-ImageNet2012"
elif [[ "$model" == "resnet152" && "$dataset" == "imagenet2012" ]]; then
Expand Down
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19 changes: 13 additions & 6 deletions readme_assets/utils.ipynb
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