Takes the template and probe features from two datasets and feeds them from one group
Algorithms have at least one input and one output. All algorithm endpoints are organized in groups. Groups are used by the platform to indicate which inputs and outputs are synchronized together. The first group is automatically synchronized with the channel defined by the block in which the algorithm is deployed.
| Endpoint Name | Data Format | Nature |
|---|---|---|
| client_id | system/uint64/1 | Input |
| image | system/array_2d_uint8/1 | Input |
| template_ids | system/array_1d_uint64/1 | Input |
| is_positive | system/boolean/1 | Output |
| probe_image | system/array_2d_uint8/1 | Output |
| template_images | system/array_3d_uint8/1 | Output |
| Endpoint Name | Data Format | Nature |
|---|---|---|
| template_id | system/uint64/1 | Input |
| template_image | system/array_2d_uint8/1 | Input |
xxxxxxxxxxfrom collections import defaultdictclass Algorithm: def __init__(self): self.templates = defaultdict(list) def prepare(self, data_loaders): # Load template images # import ipdb; ipdb.set_trace() template_image_loader = data_loaders.loaderOf("template_image") for i in range(template_image_loader.count()): data = template_image_loader[i][0] template_image = data["template_image"].value template_id = data["template_id"].value self.templates[template_id].append(template_image) return True def process(self, inputs, data_loaders, outputs): client_id = inputs["client_id"].data.value probe_image = inputs["image"].data.value template_ids = inputs["template_ids"].data.value for template_id in template_ids: template_images = self.templates[template_id] is_positive = template_id == client_id # Writes the output outputs["probe_image"].write({"value": probe_image}) outputs["template_images"].write({"value": template_images}) outputs["is_positive"].write({"value": is_positive}) return TrueThe code for this algorithm in Python
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| Updated | Name | Databases/Protocols | Analyzers | |||
|---|---|---|---|---|---|---|
| amohammadi/amohammadi/atnt_facenet/1/atnt_facenet_1 | atnt/5@idiap,facenet-20170512-110547/1@facenet-20170512-110547 | amohammadi/eer_analyzer/1 | ||||
| amohammadi/amohammadi/atnt_eigenfaces/1/atnt1 | atnt/6@idiap | amohammadi/eer_analyzer/1 |
This table shows the number of times this algorithm has been successfully run using the given environment. Note this does not provide sufficient information to evaluate if the algorithm will run when submitted to different conditions.