AttributeError: module 'numpy' has no attribute 'int'. #2375
Description
Is there an existing issue for this?
- I have searched the existing issues
Bug description
Attempting to run multi-animal tracking with analyze_videos, keep getting the following error message:
Traceback (most recent call last):
File "C:\Users\kavya\anaconda3\envs\snakes\lib\site-packages\deeplabcut\gui\utils.py", line 22, in run
self.func()
File "C:\Users\kavya\anaconda3\envs\snakes\lib\site-packages\deeplabcut\pose_estimation_tensorflow\predict_videos.py", line 640, in analyze_videos
convert_detections2tracklets(
File "C:\Users\kavya\anaconda3\envs\snakes\lib\site-packages\deeplabcut\pose_estimation_tensorflow\predict_videos.py", line 1873, in convert_detections2tracklets
trackingutils.fill_tracklets(
File "C:\Users\kavya\anaconda3\envs\snakes\lib\site-packages\deeplabcut\pose_estimation_tensorflow\lib\trackingutils.py", line 761, in fill_tracklets
tracklet_id, pred_id = content[-2:].astype(np.int)
File "C:\Users\kavya\anaconda3\envs\snakes\lib\site-packages\numpy\__init__.py", line 305, in __getattr__
raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'int'.
Operating System
Windows 11
DeepLabCut version
dlc version 2.3.5
DeepLabCut mode
multi animal
Device type
gpu RTX 3080 laptop
Steps To Reproduce
- With a top-down multi-animal project
- 4 markers per animal per frame, ~15 animals per video
individuals:
- bird01
- bird02
- bird03
- bird04
- bird05
- bird06
- bird07
- bird08
- bird09
- bird10
- bird11
- bird12
- bird13
- bird14
- bird15
uniquebodyparts: []
multianimalbodyparts:
- head
- shoulder
- tailbase
- tailend
bodyparts: MULTI!
# Fraction of video to start/stop when extracting frames for labeling/refinement
start: 0
stop: 1
numframes2pick: 20
# Plotting configuration
skeleton:
- - head
- shoulder
- - shoulder
- tailbase
- - tailbase
- tailend
skeleton_color: white
pcutoff: 0.6
dotsize: 12
alphavalue: 0.7
colormap: rainbow
# Training,Evaluation and Analysis configuration
TrainingFraction:
- 0.95
iteration: 0
default_net_type: dlcrnet_ms5
default_augmenter: multi-animal-imgaug
default_track_method: ellipse
snapshotindex: -1
batch_size: 8
# Cropping Parameters (for analysis and outlier frame detection)
cropping: false
#if cropping is true for analysis, then set the values here:
x1: 0
x2: 640
y1: 277
y2: 624
# Refinement configuration (parameters from annotation dataset configuration also relevant in this stage)
corner2move2:
- 50
- 50
move2corner: true- Run analyze_videos from GUI
- See attribute error
Relevant log output
Traceback (most recent call last):
File "C:\Users\kavya\anaconda3\envs\snakes\lib\site-packages\deeplabcut\gui\utils.py", line 22, in run
self.func()
File "C:\Users\kavya\anaconda3\envs\snakes\lib\site-packages\deeplabcut\pose_estimation_tensorflow\predict_videos.py", line 640, in analyze_videos
convert_detections2tracklets(
File "C:\Users\kavya\anaconda3\envs\snakes\lib\site-packages\deeplabcut\pose_estimation_tensorflow\predict_videos.py", line 1873, in convert_detections2tracklets
trackingutils.fill_tracklets(
File "C:\Users\kavya\anaconda3\envs\snakes\lib\site-packages\deeplabcut\pose_estimation_tensorflow\lib\trackingutils.py", line 761, in fill_tracklets
tracklet_id, pred_id = content[-2:].astype(np.int)
File "C:\Users\kavya\anaconda3\envs\snakes\lib\site-packages\numpy\__init__.py", line 305, in __getattr__
raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'int'.Anything else?
No response
Code of Conduct
- I agree to follow this project's Code of Conduct
Metadata
Metadata
Assignees
Labels
No labels