rpi-urban-mobility-tracker
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nathanrooy
No output from UMT
UMT appears to work fine, but no images are generated. Ubuntu 20.04, x86_64
INITIALIZING UMT... THRESHOLD: 0.5 CUSTOM LABEL MAP = FALSE TPU = FALSE CUSTOM DETECTOR = FALSE INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
TRACKING... FRAME: 0 FRAME: 1 FRAME: 2 FRAME: 3 FRAME: 4 FRAME: 5 FRAME: 6 FRAME: 7 FRAME: 8 FRAME: 9
Just testet from Docker on Raspberry Pi: Same problem. No images generated.
INITIALIZING UMT... THRESHOLD: 0.5 CUSTOM LABEL MAP = FALSE TPU = FALSE CUSTOM DETECTOR = FALSE
TRACKING... FRAME: 0 2022-05-24 14:50:46.707008: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) 2022-05-24 14:50:46.736980: W tensorflow/core/platform/profile_utils/cpu_utils.cc:116] Failed to find bogomips or clock in /proc/cpuinfo; cannot determine CPU frequency FRAME: 1 FRAME: 2 FRAME: 3 FRAME: 4 FRAME: 5 FRAME: 6 FRAME: 7 FRAME: 8 FRAME: 9
Just testet from Docker on Raspberry Pi: Same problem. No images generated.
INITIALIZING UMT... THRESHOLD: 0.5 CUSTOM LABEL MAP = FALSE TPU = FALSE CUSTOM DETECTOR = FALSE
TRACKING... FRAME: 0 2022-05-24 14:50:46.707008: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) 2022-05-24 14:50:46.736980: W tensorflow/core/platform/profile_utils/cpu_utils.cc:116] Failed to find bogomips or clock in /proc/cpuinfo; cannot determine CPU frequency FRAME: 1 FRAME: 2 FRAME: 3 FRAME: 4 FRAME: 5 FRAME: 6 FRAME: 7 FRAME: 8 FRAME: 9
I guess I have the same problem now, but however it seems like I have some extra lines compared to what I can see from your side. Have you managed to find a solution for it? My output:
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation. WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation. WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation. WARNING:root:Limited tf.summary API due to missing TensorBoard installation.
INITIALIZING UMT... THRESHOLD: 0.5 CUSTOM LABEL MAP = FALSE TPU = FALSE CUSTOM DETECTOR = FALSE
TRACKING... FRAME: 0 2022-05-31 09:08:23.012663: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) 2022-05-31 09:08:23.274399: W tensorflow/core/platform/profile_utils/cpu_utils.cc:116] Failed to find bogomips or clock in /proc/cpuinfo; cannot determine CPU frequency 2022-05-31 09:08:23.437208: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 8388608 exceeds 10% of free system memory. 2022-05-31 09:08:23.591266: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 8388608 exceeds 10% of free system memory. 2022-05-31 09:08:23.657290: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 8388608 exceeds 10% of free system memory. 2022-05-31 09:08:23.685661: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 8388608 exceeds 10% of free system memory. 2022-05-31 09:08:23.798316: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 8388608 exceeds 10% of free system memory. FRAME: 1 FRAME: 2 FRAME: 3 FRAME: 4 FRAME: 5 FRAME: 6 FRAME: 7 FRAME: 8 FRAME: 9
I guess I have the same problem now, but however it seems like I have some extra lines compared to what I can see from your side. Have you managed to find a solution for it? My output:
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation. WARNING:root:Limited [...]
2022-05-31 09:08:23.798316: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 8388608 exceeds 10% of free system memory. FRAME: 1 [...] FRAME: 9
My output was the same as yours, I just trimmed it down a bit.
There's a bug in the documentation. The command needs the "-save" flag
umt -save -video highway_01.mp4
The detection didn't work, but the frames were put into an 'output' directory.
