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Huskylens API (Error: SMBus object has no attribute 'timeout')

Account cancelled 2020-11-12 07:44:41 3938 Views4 Replies
Having installed the required modules, etc I am testing with the exampleHL.py on a Rasperry Pi4.
Message 'knock' (a.) is giving back 'knock received' -> so I think Huskylens is working
However: When trying 'Set Custom Name' (b.) I get eror: SMBus object has no attribute 'timeout'

same when trying 'customText' (c.), same error but displaying 'hl' on screen.
same when trying 'clearText' (d.), same error and text 'hl' is cleared.

Is there anything missing on the installation (which is made according instructions) ?

2023-02-11 11:27:14

Fixed by correcting the huskylib.py

Bill.James

2021-02-26 19:23:18 Same problem, aftter run a simple test:

Code: Select all

 from huskylib import HuskyLensLibrary
 
hl= HuskyLensLibrary("I2C","",address=0x32)
print(hl.knock())
 
#Description: Get the number of frame HUSKYLENS have processed.
print("frameNumber:", hl.frameNumber())
 
#Description: Get the number of learned and unlearned objects on the screen.
print("count:", hl.count())
 
#Description: Get the total number of learned objects for the current running algorithm, objects do not need to be present on screen.
print("learnedObjCount:", hl.learnedObjCount())
 
hl.algorthim("ALGORITHM_OBJECT_CLASSIFICATION")

Traceback (most recent call last):
File "Test.py", line 16, in <module>
hl.algorthim("ALGORITHM_OBJECT_CLASSIFICATION")
File "/huskylib.py", line 387, in algorthim
return self.processReturnData()
File "/huskylib.py", line 217, in processReturnData
self.huskylensSer.timeout=5
AttributeError: 'SMBus' object has no attribute 'timeout' danielmeireles

2020-12-19 02:02:56 same error, do you solve it? lucadagostino84

2020-12-06 15:27:54 same problem here.. I´m following your post..

cheers

schiller_andi

Rich Text Editor

Gravity: Huskylens - An Easy-to-use AI Camera | Vision Sensor SEN0305

	from huskylib import HuskyLensLibrary

	hl= HuskyLensLibrary("I2C","",address=0x32)
	print(hl.knock())

	#Description: Get the number of frame HUSKYLENS have processed.
	print("frameNumber:", hl.frameNumber())

	#Description: Get the number of learned and unlearned objects on the screen.
	print("count:", hl.count())

	#Description: Get the total number of learned objects for the current running algorithm, objects do not need to be present on screen.
	print("learnedObjCount:", hl.learnedObjCount())

	hl.algorthim("ALGORITHM_OBJECT_CLASSIFICATION")