PlanCLEFTask

To Train: First run get_list_files_all to get train_set.pkl To Validate: create a folder dirctory and move all model into it

To validate a single model, use validate: validate.py <list_files> <model_path>
To validate all models sequentially, use validate_all: validate_all <list_files> <model_directory>
To validate all models with ensemble prediction, use validate_cross: validate_cross <train_set> <list_files> <model_directory>

List of pretrained model for PlantCLEF 2019:

Name		Name	Last commit message	Last commit date
Latest commit History 78 Commits
PlanCLEFDataset.py		PlanCLEFDataset.py
README.md		README.md
ResNetModel.py		ResNetModel.py
check_dataset.py		check_dataset.py
copy_list_smallsize.py		copy_list_smallsize.py
data_accessor.py		data_accessor.py
densenet.py		densenet.py
get_all_classes.py		get_all_classes.py
get_all_little_colors.py		get_all_little_colors.py
get_histogram_class.py		get_histogram_class.py
get_histogram_dup.py		get_histogram_dup.py
get_list_files_all.py		get_list_files_all.py
keylist_filtered.txt		keylist_filtered.txt
list_file_removed_until_8k.txt		list_file_removed_until_8k.txt
multiples_filtered.txt		multiples_filtered.txt
plant.txt		plant.txt
plantclef_2019_multiples.txt		plantclef_2019_multiples.txt
quicktest_torchvision.py		quicktest_torchvision.py
reformat_list_smallsize.py		reformat_list_smallsize.py
remove_listsmallsize.py		remove_listsmallsize.py
remove_smallclass_2019.py		remove_smallclass_2019.py
shufflenet.py		shufflenet.py
test.py		test.py
validate.py		validate.py
validate_all.py		validate_all.py
validate_all_cross.py		validate_all_cross.py