Model Downloader

Utilities for automatically downloading pre-trained models. More...

Macros
#define	JSON_STR(x)   (x.is_string() ? x.get<std::string>() : "")
	Helper macro for getting a string from a JSON element. More...
#define	JSON_STR_DEFAULT(x, default)   (x.is_string() ? x.get<std::string>() : default)
	Helper macro for getting a string from a JSON element. More...

Functions
bool	DownloadModel (nlohmann::json &model, uint32_t retries=2)
	Download a pre-trained model given its JSON config. More...
bool	DownloadModel (const char *type, const char *name, nlohmann::json &model, uint32_t retries=2)
	Download a pre-trained model and return its JSON config. More...
bool	FindModel (const char *type, const char *name)
	Check if a model can be found in the model manifest. More...
bool	FindModel (const char *type, const char *name, nlohmann::json &model)
	Find a pre-trained model's config in the model manifest. More...
bool	FindModel (const char *type, const char *name, nlohmann::json &models, nlohmann::json &model)
	Find a pre-trained model's config in the model manifest. More...
bool	LoadModelManifest (const char *path="networks/models.json")
	Load the model manifest from a JSON file. More...
bool	LoadModelManifest (nlohmann::json &models, const char *path="networks/models.json")
	Load the model manifest from a JSON file. More...

Detailed Description

Utilities for automatically downloading pre-trained models.

Macro Definition Documentation

JSON_STR

#define JSON_STR

(

x

)

(x.is_string() ? x.get<std::string>() : "")

Helper macro for getting a string from a JSON element.

JSON_STR_DEFAULT

#define JSON_STR_DEFAULT	(		x,
			default
	)		(x.is_string() ? x.get<std::string>() : default)

Helper macro for getting a string from a JSON element.

Function Documentation

DownloadModel() [1/2]

bool DownloadModel	(	const char *	type,
		const char *	name,
		nlohmann::json &	model,
		uint32_t	retries = 2
	)

Download a pre-trained model and return its JSON config.

DownloadModel() [2/2]

bool DownloadModel	(	nlohmann::json &	model,
		uint32_t	retries = 2
	)

Download a pre-trained model given its JSON config.

FindModel() [1/3]

bool FindModel	(	const char *	type,
		const char *	name
	)

Check if a model can be found in the model manifest.

FindModel() [2/3]

bool FindModel	(	const char *	type,
		const char *	name,
		nlohmann::json &	model
	)

Find a pre-trained model's config in the model manifest.

FindModel() [3/3]

bool FindModel	(	const char *	type,
		const char *	name,
		nlohmann::json &	models,
		nlohmann::json &	model
	)

Find a pre-trained model's config in the model manifest.

LoadModelManifest() [1/2]

bool LoadModelManifest

(

const char *

path = "networks/models.json"

)

Load the model manifest from a JSON file.

LoadModelManifest() [2/2]

bool LoadModelManifest	(	nlohmann::json &	models,
		const char *	path = "networks/models.json"
	)

Load the model manifest from a JSON file.