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add new aesthetic scoring model #1

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merged 4 commits into from
Feb 8, 2024
Merged

add new aesthetic scoring model #1

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0c9c96b
add resnet50 mlp
Mayukhdeb Feb 8, 2024
f0cfd12
dockerfile: clone creator lora repo
Mayukhdeb Feb 8, 2024
2224fec
Update main.py
genekogan Feb 8, 2024
8d074b2
Update Dockerfile
genekogan Feb 8, 2024
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7 changes: 7 additions & 0 deletions Dockerfile
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Original file line number Diff line number Diff line change
Expand Up @@ -21,11 +21,18 @@ RUN (git clone https://github.com/aiXander/CLIP_assisted_data_labeling && \
cd CLIP_assisted_data_labeling && \
git checkout 09468d9)

RUN (git clone https://github.com/edenartlab/creator-lora.git && \
cd creator-lora && \
git checkout b773492e5fd4845b29ec8e8f12b7cdae71d7bec5)

COPY main.py main.py

# RUN gdown 1Pm2apRxk9CbMspwve3Fir3WwX-vDWXoL
RUN gdown 1iEcUy-fAe2h_3E7gMI4pu8tsZ187n4aC

# aesthetic_score_best_model.pth
RUN gdown 1thEIlXVc8lkULVUBY9Ab45tsOERxkjxn

EXPOSE 80

CMD ["python", "-u", "main.py"]
13 changes: 12 additions & 1 deletion main.py
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Expand Up @@ -2,6 +2,7 @@

import sys
sys.path.append('CLIP_assisted_data_labeling')
sys.path.append('creator-lora')

import time
import os
Expand All @@ -15,6 +16,7 @@
import chromadb
from chromadb.config import Settings
from utils.embedder import AestheticRegressor
from creator_lora.models.resnet50 import ResNet50MLP

MONGO_URI = os.getenv('MONGO_URI')
MONGO_DB_NAME = os.getenv('MONGO_DB_NAME')
Expand All @@ -23,6 +25,7 @@

# model_path = "combo_2023-08-02_03:48:00_8.1k_imgs_80_epochs_-1.0000_mse.pth"
model_path = "eden_scorer_2023-12-13_9.4k_imgs_80_epochs_2_crops.pth"
model_path_resnet50_mlp = "aesthetic_score_best_model.pth"
device = "cpu"

# setup mongo
Expand Down Expand Up @@ -53,8 +56,12 @@

# load scorer + embedder
aesthetic_regressor = AestheticRegressor(model_path, device)
aesthetic_regressor_resnet50 = ResNet50MLP(
model_path=model_path_resnet50_mlp,
device = device
)
print(aesthetic_regressor)

print(aesthetic_regressor_resnet50)

def induct_creation(document):
uri = document['thumbnail']
Expand All @@ -72,7 +79,11 @@ def induct_creation(document):

# aesthetic score
score, features = aesthetic_regressor.predict_score(image)
score_resnet50 = aesthetic_regressor_resnet50.predict_score(image)
embedding = features.squeeze().numpy().tolist()

## take mean score
score = (score + score_resnet50) / 2

if not embedding:
print(f"skip creation {document['_id']}, no embedding")
Expand Down
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