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simaiden committed Dec 28, 2019
1 parent 9e6c355 commit f4a2c1e
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Showing 7 changed files with 10 additions and 139 deletions.
4 changes: 3 additions & 1 deletion .gitignore
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Expand Up @@ -29,4 +29,6 @@ yolo_df2_shop_descriptors_retrieval_test_4.npy
yolo_df2_shop_descriptors.npy
asdasd.py
retrieval
Deepfashion2Val
Deepfashion2Val
*.eps
grafico_clases.py
116 changes: 0 additions & 116 deletions image_yolo_demo.py

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16 changes: 0 additions & 16 deletions log_map.txt

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8 changes: 4 additions & 4 deletions new_image_demo.py
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Expand Up @@ -55,13 +55,13 @@


#Faster RCNN / RetinaNet / Mask RCNN
#model = 'faster'
#detectron = Predictor(model=model,dataset= dataset, CATEGORIES = classes)
model = 'maskrcnn'
detectron = Predictor(model=model,dataset= dataset, CATEGORIES = classes)

#YOLO

detectron = YOLOv3Predictor(params=yolo_params)
model = 'yolo'
#detectron = YOLOv3Predictor(params=yolo_params)
#model = 'yolo'


while(True):
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1 change: 0 additions & 1 deletion resultados_por_modelo_deepfashion2.pkl

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4 changes: 3 additions & 1 deletion test_times.py
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Expand Up @@ -17,6 +17,8 @@
plt.xticks(list(range(1,6)),['YOLOv3','RetinaNet','Faster R-CNN','Mask R-CNN','TridentNet'])
for i, v in enumerate(mean):
plt.text(list(range(1,6))[i] - 0.25, v + 0.005, str(round(v,3)))
plt.ylabel('segundos')
plt.ylabel('Segundos')
plt.xlabel('Modelo')
plt.title('Tiempos promedio de inferencia modelos entrenados')
plt.show()
plt.savefig('tiempos.eps')
Binary file added tests/amazon.jpg
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