Model: "sequential"
_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 conv2d (Conv2D)             (None, 82, 82, 16)        160       
                                                                 
 activation (Activation)     (None, 82, 82, 16)        0         
                                                                 
 max_pooling2d (MaxPooling2D  (None, 41, 41, 16)       0         
 )                                                               
                                                                 
 conv2d_1 (Conv2D)           (None, 39, 39, 16)        2320      
                                                                 
 activation_1 (Activation)   (None, 39, 39, 16)        0         
                                                                 
 max_pooling2d_1 (MaxPooling  (None, 19, 19, 16)       0         
 2D)                                                             
                                                                 
 conv2d_2 (Conv2D)           (None, 17, 17, 32)        4640      
                                                                 
 activation_2 (Activation)   (None, 17, 17, 32)        0         
                                                                 
 max_pooling2d_2 (MaxPooling  (None, 8, 8, 32)         0         
 2D)                                                             
                                                                 
 flatten (Flatten)           (None, 2048)              0         
                                                                 
 dense (Dense)               (None, 32)                65568     
                                                                 
 activation_3 (Activation)   (None, 32)                0         
                                                                 
 dropout (Dropout)           (None, 32)                0         
                                                                 
 dense_1 (Dense)             (None, 4)                 132       
                                                                 
=================================================================
Total params: 72,820
Trainable params: 72,820
Non-trainable params: 0
_________________________________________________________________

Total MACs: 5.870 M
Total OPs: 12.303 M
Name: rock_paper_scissors
Version: 1
Description: Image classifier example for detecting Rock/Paper/Scissors hand gestures in images
Classes: rock, paper, scissor, _unknown_
hash: 
date: 
runtime_memory_size: 0
detection_threshold: 175
average_window_duration_ms: 500
minimum_count: 2
suppression_count: 1