Add where models are.

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Kwabena W. Agyeman 2019-10-30 00:30:18 -07:00
parent bcebe2cde2
commit 99fbb53100
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# learning to apply the model to a target problem by re-training the model. # learning to apply the model to a target problem by re-training the model.
# #
# NOTE: This example only works on the OpenMV Cam H7 Pro (that has SDRAM) and better! # NOTE: This example only works on the OpenMV Cam H7 Pro (that has SDRAM) and better!
# To get the models please see the CNN Network library in OpenMV IDE under
# Tools -> Machine Vision. The labels are there too.
# #
# In this example we slide the detector window over the image and get a list # In this example we slide the detector window over the image and get a list
# of activations. Note that use a CNN with a sliding window is extremely compute # of activations. Note that use a CNN with a sliding window is extremely compute

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@ -9,6 +9,8 @@
# learning to apply the model to a target problem by re-training the model. # learning to apply the model to a target problem by re-training the model.
# #
# NOTE: This example only works on the OpenMV Cam H7 Pro (that has SDRAM) and better! # NOTE: This example only works on the OpenMV Cam H7 Pro (that has SDRAM) and better!
# To get the models please see the CNN Network library in OpenMV IDE under
# Tools -> Machine Vision. The labels are there too.
# #
# In this example we slide the detector window over the image and get a list # In this example we slide the detector window over the image and get a list
# of activations. Note that use a CNN with a sliding window is extremely compute # of activations. Note that use a CNN with a sliding window is extremely compute